Výsledky vyhledávání - Segmentation-based object categorization

Review of Semi-Supervised Medical Image Segmentation based on the U-Net

Autoři: Lina Dai Md Gapar Md Johar Mohammed Hazim Alkawaz

Zdroj: Academic Journal of Science and Technology. 11:147-154

Témata: Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Scale-space segmentation, Deep Learning in Medical Image Analysis, Classification of Brain Tumor Type and Grade, Image Segmentation, Pattern recognition (psychology), 7. Clean energy, Medical Imaging, Segmentation, Artificial Intelligence, Segmentation-based object categorization, Health Sciences, Machine learning, Image (mathematics), Image segmentation, Life Sciences, Applications of Deep Learning in Medical Imaging, Computer science, 3. Good health, Neurology, Computer Science, Physical Sciences, Medical Image Analysis, Medicine, Computer vision, Neuroscience

Medical Image Segmentation Based on Transformer and HarDNet Structures

Autoři: Tongping Shen Huanqing Xu

Zdroj: IEEE Access, Vol 11, Pp 16621-16630 (2023)

Témata: Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Scale-space segmentation, Deep Learning in Medical Image Analysis, Feature (linguistics), 02 engineering and technology, Pattern recognition (psychology), Feature Extraction, Radiomics in Medical Imaging Analysis, Cancer Imaging, 03 medical and health sciences, Medical Imaging, Segmentation, 0302 clinical medicine, Artificial Intelligence, Segmentation-based object categorization, Health Sciences, 0202 electrical engineering, electronic engineering, information engineering, feature fusion, Image Recognition, medical image segmentation, Image segmentation, Deep learning, Linguistics, Computer science, TK1-9971, Encoder, FOS: Philosophy, ethics and religion, 3. Good health, Operating system, Philosophy, HarDNet, Computer Science, Physical Sciences, transformer, Medical Image Analysis, FOS: Languages and literature, Medicine, Deep Learning in Computer Vision and Image Recognition, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition

Přístupová URL adresa: https://doaj.org/article/9a7dd8bb7f854a27840dc1e09574c5ed

Enhanced Global Image Segmentation: Addressing Pixel Inhomogeneity and Noise with Average Convolution and Entropy-Based Local Factor

Autoři: Ibrar Hussain Jan Muhammad Rifaqat Ali

Zdroj: International Journal of Knowledge and Innovation Studies. 1:116-126

Témata: Artificial intelligence, Scale-space segmentation, MRI Segmentation, Computational Mechanics, Noise (video), Image Segmentation, Pattern recognition (psychology), Quantum mechanics, 12. Responsible consumption, Engineering, Segmentation, Compressed Sensing, Segmentation-based object categorization, 11. Sustainability, Image (mathematics), Entropy (arrow of time), Image Segmentation Techniques, Image Denoising, 14. Life underwater, Image segmentation, Physics, 15. Life on land, Theory and Applications of Compressed Sensing, Computer science, 3. Good health, 13. Climate action, Outlier, Computer Science, Physical Sciences, 8. Economic growth, Texture Analysis, Computer vision, Computer Vision and Pattern Recognition, Pixel, Image Denoising Techniques and Algorithms

Ψnet: a parallel network with deeply coupled spatial and squeezed features for segmentation of medical images

Autoři: Eman M. Elmeslimany Sherif Kishk Doaa A. Altantawy

Zdroj: Multimedia Tools and Applications. 83:24045-24082

Témata: Pooling, Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Scale-space segmentation, Deep Learning in Medical Image Analysis, Pyramid (geometry), 02 engineering and technology, Pattern recognition (psychology), 7. Clean energy, Bottleneck, 03 medical and health sciences, 0302 clinical medicine, Medical Imaging, Segmentation, Artificial Intelligence, Segmentation-based object categorization, Health Sciences, 0202 electrical engineering, electronic engineering, information engineering, Embedded system, Melanoma, Image segmentation, Physics, Optics, Applications of Deep Learning in Medical Imaging, Computer science, Encoder, Process (computing), 3. Good health, Operating system, Oncology, Whole Slide Imaging, Computer Science, Physical Sciences, Medical Image Analysis, Medicine, Computer vision

Image segmentation for animals in the wild using scilab software

Autoři: Taha Rashid Mohd Hilmi Hamzah Mohammed Rasheed a další

Zdroj: Al-Salam Journal for Engineering and Technology. 2:72-77

Témata: Autofocusing in Microscopy and Photography, Artificial intelligence, Scale-space segmentation, Image Processing, Computer Vision, Machine Vision, Structuring element, Digital Imaging, Pattern recognition (psychology), Depth Estimation, Engineering, Segmentation, Image processing, Segmentation-based object categorization, Region growing, Media Technology, Image (mathematics), Real-time Water Quality Monitoring and Aquaculture Management, Image texture, Water Science and Technology, Image segmentation, 15. Life on land, Computer science, Process (computing), Operating system, Thresholding, Mathematical morphology, Physical Sciences, Environmental Science, Computer vision, Pixel

A Cascaded Classification-Segmentation Reversible System for Computer-Aided Detection and Cells Counting in Microscopic Peripheral Blood Smear Basophils and Eosinophils Images

Autoři: Amira S. Ashour Maram A. Wahba Rami Ghannam

Zdroj: IEEE Access, Vol 9, Pp 78883-78901 (2021)

Témata: peripheral blood image, Artificial intelligence, Scale-space segmentation, Support vector machine, white blood cells, Physiology, 02 engineering and technology, Pattern recognition (psychology), Microbiology, 03 medical and health sciences, Segmentation, 0302 clinical medicine, Automated Analysis of Blood Cell Images, Segmentation-based object categorization, Health Sciences, Microscopic Blood Images, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Leukocyte segmentation, Bacterial Pathogenesis in Animal and Human Health, Immunology and Microbiology, Image segmentation, Histogram, Life Sciences, Laboratory Medicine and Testing Procedures, White Blood Cell Segmentation, Computer science, microscopic image analysis, TK1-9971, classification, FOS: Biological sciences, Computer Science, Physical Sciences, counting cells, Medicine, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Otsu's method

Popis souboru: application/pdf

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09440412.pdf
https://eprints.gla.ac.uk/242061/1/242061.pdf
https://doaj.org/article/5de25f33648b40578e251bcaeaf45a82
https://dblp.uni-trier.de/db/journals/access/access9.html#AshourWG21
https://doi.org/10.1109/ACCESS.2021.3083703
https://ieeexplore.ieee.org/document/9440412/

Instance segmentation ship detection based on improved Yolov7 using complex background SAR images

Autoři: Muhammad Yasir Zhan Li Shanwei Liu a další

Zdroj: Frontiers in Marine Science, Vol 10 (2023)

Témata: Artificial intelligence, Scale-space segmentation, Multiscale Seafloor Mapping and Classification Techniques, Science, Robustness (evolution), 0211 other engineering and technologies, Aerospace Engineering, FOS: Mechanical engineering, 02 engineering and technology, QH1-199.5, Oceanography, Pattern recognition (psychology), Biochemistry, Gene, 7. Clean energy, computer vision, YOLOv7, SSDD, Engineering, Segmentation, Segmentation-based object categorization, Synthetic Aperture Radar (SAR) Technology and Applications, Object Detection, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, Image Recognition, Image segmentation, General. Including nature conservation, geographical distribution, object detection, FOS: Earth and related environmental sciences, 15. Life on land, Computer science, Earth and Planetary Sciences, HR-RS, Chemistry, instance segmentation, Computer Science, Physical Sciences, Deep Learning in Computer Vision and Image Recognition, Computer vision, Computer Vision and Pattern Recognition, Automatic Target Recognition

Přístupová URL adresa: https://doaj.org/article/ee549ac0fc03471fb06c788b8163879f

Impact Of Segmentation Parameters On The Classification Of VHR Images Acquired By RPAS

Autoři: M. G. Lacerda E. H. Shiguemori A. J. Damião a další

Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 43-48 (2020)

Témata: Cartography, Technology, Artificial intelligence, Scale-space segmentation, Environmental Engineering, Scale (ratio), 0211 other engineering and technologies, Ocean Engineering, 02 engineering and technology, Pattern recognition (psychology), 01 natural sciences, Geometric Processing, Engineering, Segmentation, Geometric Processing of Remote Sensing Imagery, Artificial Intelligence, Segmentation-based object categorization, Applied optics. Photonics, 0105 earth and related environmental sciences, Image segmentation, Geography, FOS: Environmental engineering, Engineering (General). Civil engineering (General), Computer science, Artificial Intelligence and Expert Systems, TA1501-1820, Physical Sciences, Environmental Science, Computer Science, Mapping Forests with Lidar Remote Sensing, Computer vision, Object (grammar), TA1-2040

Popis souboru: application/pdf

Přístupová URL adresa: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/43/2020/isprs-archives-XLII-3-W12-2020-43-2020.pdf
https://isprs-archives.copernicus.org/articles/XLII-3-W12-2020/43/2020/
https://doaj.org/article/20b0f64b4974470e91af97e59aa9d185
https://ieeexplore.ieee.org/document/9165637
https://ui.adsabs.harvard.edu/abs/2020ISPAr4212...43L/abstract
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/43/2020/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/43/2020/isprs-archives-XLII-3-W12-2020-43-2020.pdf

AN UNSUPERVISED SEGMENTATION METHOD FOR REMOTE SENSING IMAGERY BASED ON CONDITIONAL RANDOM FIELDS

Autoři: Anderson R. Soares Thales Sehn Körting Leila María García Fonseca a další

Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 91-95 (2020)

Témata: Technology, Atmospheric Science, Artificial intelligence, Scale-space segmentation, 0207 environmental engineering, 0211 other engineering and technologies, Object-Based Analysis, Image Analysis, 02 engineering and technology, Pattern recognition (psychology), 01 natural sciences, Feature Extraction, Remote Sensing, Engineering, Segmentation, Segmentation-based object categorization, Multispectral pattern recognition, Minimum spanning tree-based segmentation, Media Technology, Applied optics. Photonics, Multispectral image, 0105 earth and related environmental sciences, Image segmentation, Object-Oriented Analysis, Ecology, Remote Sensing in Vegetation Monitoring and Phenology, Engineering (General). Civil engineering (General), Hyperspectral Image Analysis and Classification, Computer science, TA1501-1820, Earth and Planetary Sciences, Applications of Remote Sensing in Geoscience and Agriculture, FOS: Biological sciences, Physical Sciences, Environmental Science, Change detection, Conditional random field, Computer vision, Pixel, TA1-2040

Popis souboru: application/pdf

Přístupová URL adresa: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/91/2020/isprs-archives-XLII-3-W12-2020-91-2020.pdf
https://isprs-archives.copernicus.org/articles/XLII-3-W12-2020/91/2020/
https://doaj.org/article/56396ec1d37348ac973c0baee319d681
http://ui.adsabs.harvard.edu/abs/2020ISPAr4212...91S/abstract
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/91/2020/isprs-archives-XLII-3-W12-2020-91-2020.pdf
https://ieeexplore.ieee.org/document/9165623
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W12-2020/91/2020/

A Novel Neutrosophic Subsets Definition for Dermoscopic Image Segmentation

Autoři: Amira S. Ashour Chunlai Du Yanhui Guo a další

Zdroj: IEEE Access, Vol 7, Pp 151047-151053 (2019)

Témata: Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Scale-space segmentation, unsharp filter, Set (abstract data type), Image Analysis, 02 engineering and technology, dermoscopic images, Image Segmentation, Pattern recognition (psychology), Mathematical analysis, Filter (signal processing), Detection and Management of Retinal Diseases, Segmentation, Cluster analysis, Neutrosophic set, Segmentation-based object categorization, average filter, Shape Matching and Object Recognition, Health Sciences, Image (mathematics), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Feature Descriptors, image segmentation, Image segmentation, Video Object Segmentation, Computer science, TK1-9971, Programming language, Boundary (topology), Computer Science, Physical Sciences, Computational Modeling of Visual Saliency Detection, Medicine, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Mathematics

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08864984.pdf
https://doaj.org/article/4127b77b4dce48f6b82b931af2d44277

A Convex Selective Segmentation Model based on a Piece-wise Constant Metric Guided Edge Detector Function

Autoři: Muhammad Shahkar Khan Haider Ali Muhammad Zakarya a další

Zdroj: Soft Computing.

Témata: Autofocusing in Microscopy and Photography, Artificial intelligence, Scale-space segmentation, Metric (unit), MRI Segmentation, Economics, Image Processing, Image Segmentation, Pattern recognition (psychology), Multispectral and Hyperspectral Image Fusion, Engineering, Segmentation, Segmentation-based object categorization, Media Technology, FOS: Mathematics, Image Segmentation Techniques, Image Fusion, Image segmentation, Deformable Image Registration, Computer science, Algorithm, Operations management, Computer Science, Physical Sciences, Computer vision, Computer Vision and Pattern Recognition, Pixel, Mathematics

Power mean based image segmentation in the presence of noise

Autoři: Afzal Rahman Haider Ali Noor Badshah a další

Zdroj: Sci Rep
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)

Témata: Artificial intelligence, Scale-space segmentation, MRI Segmentation, Science, Social Sciences, Noise (video), 02 engineering and technology, Management Science and Operations Research, Image Segmentation, Pattern recognition (psychology), Article, Decision Sciences, Segmentation, Image processing, Segmentation-based object categorization, Image Processing, Computer-Assisted, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Image Segmentation Techniques, Image Denoising, Image segmentation, Application of Grey System Theory in Forecasting, Computer science, Outlier, Computer Science, Physical Sciences, Medicine, Computer vision, Computer Vision and Pattern Recognition, Pixel, Image Denoising Techniques and Algorithms

Přístupová URL adresa: https://www.researchsquare.com/article/rs-1204261/latest.pdf
https://pubmed.ncbi.nlm.nih.gov/36477447
https://doaj.org/article/9698e2524ad740b988d442a58dcc04f4

Multi-sensor fusion and segmentation for autonomous vehicle multi-object tracking using deep Q networks.

Autoři: Vinoth, K. Sasikumar, P.

Zdroj: Scientific Reports. 12/28/2024, Vol. 14 Issue 1, p1-32. 32p.

Témata: *OBJECT recognition (Computer vision), *RAINFALL, *MULTISENSOR data fusion, *DUST storms, *TRAFFIC signs & signals, *ROAD markings, *DRIVERLESS cars

Conjugate Gradient Method for Brain Magnetic Resonance Images Segmentation

Autoři: El-Hachemi Guerrout Samy Ait-Aoudia Dominique Michelucci a další

Přispěvatelé: El-Hachemi Guerrout Samy Ait-Aoudia Dominique Michelucci a další

Zdroj: IFIP Advances in Information and Communication Technology ISBN: 9783319897424

Témata: Artificial intelligence, Scale-space segmentation, MRI Segmentation, Markov chain, Brain image segmentation, Image Retrieval, 02 engineering and technology, [INFO] Computer Science [cs], Conjugate gradient method, Image Segmentation, Pattern recognition (psychology), 03 medical and health sciences, Segmentation, 0302 clinical medicine, Image Feature Retrieval and Recognition Techniques, Segmentation-based object categorization, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Image Segmentation Techniques, Image Recognition, Image segmentation, Markov random field, The Conjugate Gradient algorithm, Statistics, Computer science, Algorithm, Dice Coefficient metric, Hidden Markov Random Field, Computer Science, Physical Sciences, Random field, Deep Learning in Computer Vision and Image Recognition, Semantic Segmentation, Computer vision, Computer Vision and Pattern Recognition, Mathematics

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.inria.fr/hal-01913885/file/467079_1_En_48_Chapter.pdf
https://hal.inria.fr/hal-01913885/document
https://doi.org/10.1007/978-3-319-89743-1_48
https://hal.inria.fr/hal-01913885
https://dblp.uni-trier.de/db/conf/ciia/ciia2018.html#GuerroutAMM18
https://link.springer.com/chapter/10.1007%2F978-3-319-89743-1_48
https://rd.springer.com/chapter/10.1007/978-3-319-89743-1_48
https://inria.hal.science/hal-01913885v1/document
https://doi.org/10.1007/978-3-319-89743-1_48
https://inria.hal.science/hal-01913885v1

De-Noising and Segmentation of Brain MR images by Spatial Information and K-Means Clustering

Autoři: Arshad Javed Wang Yin Chai Narayanan Kulathuramaiyer

Zdroj: Research Journal of Applied Sciences, Engineering and Technology. 6:4215-4220

Témata: Artificial intelligence, Scale-space segmentation, MRI Segmentation, Classification of Brain Tumor Type and Grade, Noise (video), Image Segmentation, Pattern recognition (psychology), T Technology (General), Medical Imaging, Cluster analysis, Segmentation, Segmentation-based object categorization, Region growing, Shape Matching and Object Recognition, Image (mathematics), FOS: Mathematics, Image Segmentation Techniques, Image segmentation, 4. Education, Statistics, Spatial analysis, Life Sciences, Computer science, Process (computing), Operating system, Neurology, Computer Science, Physical Sciences, Medical Image Analysis, Computer vision, Computer Vision and Pattern Recognition, Mathematics, Neuroscience

Popis souboru: text

Přístupová URL adresa: https://ir.unimas.my/15750/
https://maxwellsci.com/jp/mspabstract.php?jid=RJASET&doi=rjaset.6.3535
http://maxwellsci.com/jp/mspabstract.php?jid=RJASET&doi=rjaset.6.3535

Object Categorization : Computer and Human Vision Perspectives

Autoři: Sven J. Dickinson Aleš Leonardis Bernt Schiele a další

Resource Type: eBook.

Témata: Pattern recognition systems, Computer vision

Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition

Parameter selection for region‐growing image segmentation algorithms using spatial autocorrelation

Autoři: Giovana Mira de Espíndola Gilberto Câmara Ilka Afonso Reis a další

Zdroj: International Journal of Remote Sensing. 27:3035-3040

Témata: Scale-space segmentation, Artificial intelligence, MRI Segmentation, 0211 other engineering and technologies, Social Sciences, 02 engineering and technology, Management Science and Operations Research, Image Segmentation, Pattern recognition (psychology), 01 natural sciences, Feature Extraction, Decision Sciences, Engineering, Segmentation, Region growing, Segmentation-based object categorization, Machine learning, Media Technology, FOS: Mathematics, Image Segmentation Techniques, Homogeneous, 14. Life underwater, Data mining, 0105 earth and related environmental sciences, Image segmentation, Application of Grey System Theory in Forecasting, Homogeneity (statistics), 4. Education, Statistics, Spatial analysis, 15. Life on land, Hyperspectral Image Analysis and Classification, Computer science, Algorithm, Combinatorics, 13. Climate action, Autocorrelation, Physical Sciences, Computer Science, Computer vision, Computer Vision and Pattern Recognition, Mathematics, Forecasting Model Optimization

Přístupová URL adresa: http://www.dpi.inpe.br/gilberto/papers/espindola_camara_ijrs.pdf
https://www.tandfonline.com/doi/full/10.1080/01431160600617194
http://www.dpi.inpe.br/gilberto/papers/espindola_camara_ijrs.pdf
https://ui.adsabs.harvard.edu/abs/2006IJRS...27.3035E/abstract

Single-Image based unsupervised joint segmentation and denoising

Autoři: Nadja Gruber Johannes Schwab Noémie Debroux a další

Témata: Advanced Techniques in Bioimage Analysis and Microscopy, Autofocusing in Microscopy and Photography, Artificial intelligence, Scale-space segmentation, Biomedical Engineering, Biophysics, Noise (video), Digital Imaging, FOS: Medical engineering, Pattern recognition (psychology), Unsupervised learning, Engineering, Segmentation, Functional Imaging, Segmentation-based object categorization, Biochemistry, Genetics and Molecular Biology, Media Technology, Image (mathematics), FOS: Mathematics, 14. Life underwater, Noise reduction, Image segmentation, Architectural engineering, Statistics, Life Sciences, Advances in Photoacoustic Imaging and Tomography, Autofocusing, 15. Life on land, Computer science, In Vivo Imaging, Joint (building), 13. Climate action, Physical Sciences, Bioimage Analysis, Computer vision, Energy (signal processing), Mathematics

An Efficient Segmentation Technique for Different Medical Image Modalities

Autoři: Amira A. Mahmoud Walid El‐Shafai Taha E. Taha a další

Zdroj: Menoufia Journal of Electronic Engineering Research. 0:0-0

Témata: Autofocusing in Microscopy and Photography, Artificial intelligence, Scale-space segmentation, MRI Segmentation, Image Processing, 02 engineering and technology, Digital Imaging, Image Segmentation, Pattern recognition (psychology), Engineering, Segmentation, Image processing, Segmentation-based object categorization, Region growing, Shape Matching and Object Recognition, Minimum spanning tree-based segmentation, Media Technology, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Image Segmentation Techniques, Image texture, Image segmentation, Range segmentation, Computer science, Binary image, Computer Science, Physical Sciences, Medical Image Analysis, Computer vision, Computer Vision and Pattern Recognition, Pixel, Feature detection (computer vision)

Přístupová URL adresa: https://mjeer.journals.ekb.eg/article_101026_7744051e13b7bfb69205305f0b7906f8.pdf
https://mjeer.journals.ekb.eg/article_146077_d2988516725714b795fd18f6b8425235.pdf
https://mjeer.journals.ekb.eg/article_146077.html
https://journals.ekb.eg/article_146077.html
https://mjeer.journals.ekb.eg/article_146077_d2988516725714b795fd18f6b8425235.pdf

Unsupervised color image segmentation: A case of RGB histogram based K-means clustering initialization

Autoři: Sadia Basar Mahdi Zareei Awais Adnan a další

Zdroj: PLoS One
PLoS ONE, Vol 15, Iss 10, p e0240015 (2020)

Témata: Artificial intelligence, Scale-space segmentation, Shape Matching, Science, RGB color model, Color, Image Analysis, Image Retrieval, 02 engineering and technology, Pattern recognition (psychology), Engineering, Cluster analysis, Segmentation, Image Feature Retrieval and Recognition Techniques, Color image, Image processing, Segmentation-based object categorization, Region growing, Shape Matching and Object Recognition, Image Processing, Computer-Assisted, Media Technology, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Cluster Analysis, Image histogram, Initialization, Image texture, Histogram equalization, Image segmentation, Histogram, Hyperspectral Image Analysis and Classification, Computer science, Programming language, Color histogram, Physical Sciences, Computer Science, Medicine, Computer vision, Computer Vision and Pattern Recognition, Content-Based Image Retrieval, Algorithms, Feature Matching, Research Article

Přístupová URL adresa: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0240015&type=printable
https://pubmed.ncbi.nlm.nih.gov/33091007
https://doaj.org/article/103e9a576fcd445b9aa45b193b44e8f3
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0240015
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0240015&type=printable
https://www.ncbi.nlm.nih.gov/pubmed/33091007
https://europepmc.org/article/MED/33091007
https://ui.adsabs.harvard.edu/abs/2020PLoSO..1540015B/abstract
https://pubmed.ncbi.nlm.nih.gov/33091007/