Výsledky vyhľadávania - DeepLabv3+ Convolutional Neural Network

Enhancing DeepLabv3+ Convolutional Neural Network Model for Precise Apple Orchard Identification Using GF-6 Remote Sensing Images and PIE-Engine Cloud Platform.

Autori: Gao, Guining Chen, Zhihan Wei, Yicheng a ďalší

Zdroj: Remote Sensing. Jun2025, Vol. 17 Issue 11, p1923. 25p.

Predmety: *ARTIFICIAL neural networks, *CONVOLUTIONAL neural networks, *AGRICULTURAL development, *AGRICULTURAL mapping, *SUSTAINABLE agriculture, *APPLE orchards

Ear semantic segmentation in natural images with Tversky loss function supported DeepLabv3+ convolutional neural network

Autori: Tolga INAN Umit KACAR

Zdroj: Volume: 10, Issue: 3 337-346
Balkan Journal of Electrical and Computer Engineering

Predmety: Yapay Zeka, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Semantic Segmentation, Ear Segmentation, Convolutional Neural Networks, Tversky Loss Function, biometrics, 02 engineering and technology

Popis súboru: application/pdf

Prístupová URL adresa: https://dergipark.org.tr/tr/pub/bajece/issue/70568/1024073

Enhanced brain tumor classification in MRI using an optimized deep random graph dilated diffusion convolutional attention network.

Autori: Singh J Bhardwaj M Pathak A a ďalší

Zdroj: Medical physics [Med Phys] 2025 Oct; Vol. 52 (10), pp. e70028.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE

Výrazy zo slovníka MeSH: Brain Neoplasms*/diagnostic imaging , Brain Neoplasms*/classification , Magnetic Resonance Imaging* , Image Processing, Computer-Assisted*/methods , Deep Learning* , Neural Networks, Computer*, Humans ; Diffusion

Benchmarking Segmentation Models for Food Image Recognition.

Autori: Wibowo, Jessica Lynn Tianto, Eric Wahyudi, Aretha Natalova a ďalší

Zdroj: Procedia Computer Science. 2025, Vol. 269, p1289-1298. 10p.

Predmety: Image segmentation, Convolutional neural networks, Chronic diseases, Image recognition (Computer vision), Computer vision, Food consumption, Nutritional assessment

Improved U-Shaped Convolutional Neural Network with Convolutional Block Attention Module and Feature Fusion for Automated Segmentation of Fine Roots in Field Rhizotron Imagery.

Autori: Wang Y Lu F Huo C

Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Aug 11; Vol. 25 (16). Date of Electronic Publication: 2025 Aug 11.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

Výrazy zo slovníka MeSH: Convolutional Neural Networks* , Image Processing, Computer-Assisted*/methods , Larix*/anatomy & histology , Plant Roots*/anatomy & histology, Algorithms ; Deep Learning ; Neural Networks, Computer ; Soil/chemistry

Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images.

Autori: Alshardan A Alruwais N Alqahtani H a ďalší

Zdroj: Scientific reports [Sci Rep] 2024 Dec 18; Vol. 14 (1), pp. 30549. Date of Electronic Publication: 2024 Dec 18.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Výrazy zo slovníka MeSH: Magnetic Resonance Imaging*/methods , Neural Networks, Computer* , Semantics*, Humans ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/pathology ; Image Processing, Computer-Assisted/methods ; Deep Learning ; Machine Learning ; Brain/diagnostic imaging

UCSwin‐UNet model for medical image segmentation based on cardiac haemangioma.

Autori: Shi, Jian‐Ting Qu, Gui‐Xu Li, Zhi‐Jun

Zdroj: IET Image Processing (Wiley-Blackwell). 10/16/2024, Vol. 18 Issue 12, p3302-3315. 14p.

Predmety: *TRANSFORMER models, CONVOLUTIONAL neural networks, MEDICAL ultrasonics, BENIGN tumors, ULTRASONIC imaging

Hedgerow Map of Bavaria, Germany, based on Orthophotos and Convolutional Neural Networks

Autori: Huber Garcia, Verena Kriese, Jennifer Asam, Sarah a ďalší

Predmety: Dynamik der Landoberfläche

Popis súboru: application/pdf

Relation: https://elib.dlr.de/212234/1/HuberGarcia_etal.2025.pdf; Huber Garcia, Verena und Kriese, Jennifer und Asam, Sarah und Dirscherl, Mariel und Stellmach, Michael und Buchner, Johanna und Kerler, Kristel und Gessner, Ursula (2025) Hedgerow Map of Bavaria, Germany, based on Orthophotos and Convolutional Neural Networks. Remote Sensing Applications: Society and Environment, 27, Seiten 1-23. Elsevier. doi:10.1016/j.rsase.2025.101451 . ISSN 2352-9385.

Dostupnosť: https://elib.dlr.de/212234/
https://elib.dlr.de/212234/1/HuberGarcia_etal.2025.pdf

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

Autori: Gu, Ran Wang, Guotai Song, Tao a ďalší

Zdroj: IEEE Transactions on Medical Imaging. Feb2021, Vol. 40 Issue 2, p699-711. 13p.

Predmety: CONVOLUTIONAL neural networks, IMAGE segmentation, DIAGNOSTIC imaging, FETAL MRI, FETAL brain

A CNN-Based Framework for Automatic Extraction of High-Resolution River Bankfull Width.

Autori: Li, Wenqi Zhang, Chendi Puhl, David a ďalší

Zdroj: Remote Sensing. Dec2024, Vol. 16 Issue 23, p4614. 19p.

Predmety: *CONVOLUTIONAL neural networks, *RIVER channels, *CHANNELS (Hydraulic engineering), *VORONOI polygons, *COMPLEX variables

Implementation of Automatic Segmentation Framework as Preprocessing Step for Radiomics Analysis of Lung Anatomical Districts.

Autori: Stefano, Alessandro Bini, Fabiano Lauciello, Nicolò a ďalší

Zdroj: BioMedInformatics; Dec2024, Vol. 4 Issue 4, p2309-2320, 12p

Predmety: CONVOLUTIONAL neural networks, PATIENT decision making, DEEP learning, LUNG cancer, IMAGE segmentation, LUNGS

Automatic semantic segmentation of breast cancer in DCE-MRI using DeepLabV3+ with modified ResNet50.

Autori: Sahaya Pushpa Sarmila Star, C. Inbamalar, T.M. Milton, A.

Zdroj: Biomedical Signal Processing & Control. Jan2025, Vol. 99, pN.PAG-N.PAG. 1p.

Predmety: Convolutional neural networks, Magnetic resonance imaging, Computer-assisted image analysis (Medicine), Deep learning, Breast tumors, Breast

High-Throughput in situ Root Image Segmentation Based on the Improved DeepLabv3+ Method.

Autori: Shen, Chen Liu, Liantao Zhu, Lingxiao a ďalší

Zdroj: Frontiers in Plant Science; 10/19/2020, Vol. 11, pN.PAG-N.PAG, 14p

Predmety: CONVOLUTIONAL neural networks, ENVIRONMENTAL soil science, IMAGE segmentation, PLANT development, PLANT roots, HUMAN error

A Patient-Specific Algorithm for Lung Segmentation in Chest Radiographs.

Autori: De Silva, Manawaduge Supun Narayanan, Barath Narayanan Hardie, Russell C.

Zdroj: AI; Dec2022, Vol. 3 Issue 4, p931-947, 17p

Predmety: CHEST X rays, LUNGS, CONVOLUTIONAL neural networks, COMPUTER-aided diagnosis, ALGORITHMS, NETWORK performance

Geografický termín: SHENZHEN (Guangdong Sheng, China : East)

High-Throughput in situ Root Image Segmentation Based on the Improved DeepLabv3+ Method

Autori: Chen Shen Liantao Liu Lingxiao Zhu a ďalší

Zdroj: Frontiers in Plant Science, Vol 11 (2020)

Predmety: root systems, rhizotrons, convolutional neural network, image segmentation, deep-learning, Plant culture, SB1-1110

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fpls.2020.576791/full; https://doaj.org/toc/1664-462X

Prístupová URL adresa: https://doaj.org/article/ae4a2099a6934a76a7ae7f3875315885

FCP-Net: A Feature-Compression-Pyramid Network Guided by Game-Theoretic Interactions for Medical Image Segmentation.

Autori: Liu, Yexin Zhou, Jian Liu, Lizhu a ďalší

Zdroj: IEEE Transactions on Medical Imaging. Jun2022, Vol. 41 Issue 6, p1482-1496. 15p.

Predmety: *DATA mining, DIAGNOSTIC imaging, CONVOLUTIONAL neural networks, DEEP learning, IMAGE segmentation

Microscopic segmentation and classification of COVID-19 infection with ensemble convolutional neural network.

Autori: Amin J Anjum MA Sharif M a ďalší

Zdroj: Microscopy research and technique [Microsc Res Tech] 2022 Jan; Vol. 85 (1), pp. 385-397. Date of Electronic Publication: 2021 Aug 26.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9203012 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0029 (Electronic) Linking ISSN: 1059910X NLM ISO Abbreviation: Microsc Res Tech Subsets: MEDLINE

Výrazy zo slovníka MeSH: COVID-19*, COVID-19 Testing ; Humans ; Neural Networks, Computer ; SARS-CoV-2 ; Tomography, X-Ray Computed

The measurement of Cobb angle based on spine X-ray images using multi-scale convolutional neural network.

Autori: Liu J Yuan C Sun X a ďalší

Zdroj: Physical and engineering sciences in medicine [Phys Eng Sci Med] 2021 Sep; Vol. 44 (3), pp. 809-821. Date of Electronic Publication: 2021 Jul 12.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Springer Country of Publication: Switzerland NLM ID: 101760671 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-4737 (Electronic) Linking ISSN: 26624729 NLM ISO Abbreviation: Phys Eng Sci Med Subsets: MEDLINE

Výrazy zo slovníka MeSH: Scoliosis*/diagnostic imaging , Spine*/diagnostic imaging, Adolescent ; Child ; Humans ; Neural Networks, Computer ; Radiography ; X-Rays

Enhanced aerial image segmentation for land cover detection using unetformer++: Integration in nested unet models and transformers.

Autori: Pratama, Nobert Gunawan, Alexander A S Kurniadi, Felix Indra a ďalší

Zdroj: Procedia Computer Science. 2024, Vol. 245, p538-547. 10p.

Predmety: Convolutional neural networks, Transformer models, Land cover, Palette (Color range), Urban planning

A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions.

Autori: Ahmad, Iqra Amin, Javaria IkramUllah Lali, Muhammad a ďalší

Zdroj: Biomedical Signal Processing & Control. Jun2024, Vol. 92, pN.PAG-N.PAG. 1p.

Predmety: Transformer models, Convolutional neural networks, Deep learning, Superior colliculus, Classification, Ultraviolet radiation