Výsledky vyhledávání - Semi-automatic segmentation algorithms~

Quantification of left ventricular function and mass in cardiac Dual-Source CT (DSCT) exams: comparison of manual and semiautomatic segmentation algorithms

Autoři: Bastarrika, G. (Gorka) Arraiza, M. (María) Pueyo, J. (Jesús) a další

Přispěvatelé: Bastarrika, G. (Gorka) Arraiza, M. (María) Pueyo, J. (Jesús) a další

Zdroj: Dadun. Depósito Académico Digital de la Universidad de Navarra
Universidad de Navarra

Témata: Adult, Aged, 80 and over, Cardiac mass, Left ventricle, Heart function, Time-effectiveness, Middle Aged, Ventricular Function, Left, Electrocardiography, 03 medical and health sciences, Segmentation, 0302 clinical medicine, Dual-source computed tomography (DSCT), Feasibility Studies, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Hypertrophy, Left Ventricular, Tomography, X-Ray Computed, Algorithms, Software, Aged

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/18292999
https://hdl.handle.net/10171/112895
https://link.springer.com/article/10.1007/s00330-007-0849-x/fulltext.html
https://inis.iaea.org/search/search.aspx?orig_q=RN:39053917
https://www.ncbi.nlm.nih.gov/pubmed/18292999
https://europepmc.org/abstract/MED/18292999
https://link.springer.com/article/10.1007/s00330-007-0849-x

Quantification of Right and Left Ventricular Function in Cardiac MR Imaging: Comparison of Semiautomatic and Manual Segmentation Algorithms

Autoři: Souto, Miguel Masip, Lambert Couto, Miguel a další

Přispěvatelé: Souto, Miguel Masip, Lambert Couto, Miguel a další

Zdroj: Diagnostics (Basel)
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname
Universidad de Santiago de Compostela (USC)
Diagnostics, Vol 3, Iss 2, Pp 271-282 (2013)
Diagnostics; Volume 3; Issue 2; Pages: 271-282

Témata: cardiac cine magnetic resonance imaging (MRI), Medicine (General), segmentation, ejection fraction (EF), right ventricular function, left ventricular function, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV]Life Sciences [q-bio], Left ventricular function, Ejection fraction (EF), Right ventricular function, Article, 3. Good health, 03 medical and health sciences, R5-920, Segmentation, 0302 clinical medicine, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Cardiac cine magnetic resonance imaging (MRI)

Popis souboru: application/pdf

Přístupová URL adresa: http://www.mdpi.com/2075-4418/3/2/271/pdf
https://pubmed.ncbi.nlm.nih.gov/26835680
http://hdl.handle.net/10347/17712
https://doaj.org/article/2f0805dc4ce04d938cffdd37178453b4
https://minerva.usc.es/xmlui/handle/10347/17712
https://www.mdpi.com/2075-4418/3/2/271
http://europepmc.org/articles/PMC4665532
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4665532
https://www.mdpi.com/2075-4418/3/2/271/pdf
https://hdl.handle.net/10347/17712

Comprehensive evaluation of optimization algorithms for medical image segmentation.

Autoři: Al-Najdawi, Nijad A. Al-Shawabkeh, Ali F. Tedmori, Sara a další

Zdroj: Scientific Reports; 10/24/2025, Vol. 15 Issue 1, p1-19, 19p

Témata: OPTIMIZATION algorithms, IMAGE segmentation, THRESHOLDING algorithms, COMPUTATIONAL complexity, EVALUATION methodology

A semiautomatic segmentation method framework for pelvic bone tumors based on CT‐MR multimodal images

Autoři: Qi Ge Tienan Xia Yan Qiu a další

Zdroj: International Journal for Numerical Methods in Biomedical Engineering. 39

Témata: Image Processing, Computer-Assisted, Humans, Bone Neoplasms, Pelvic Bones, Tomography, X-Ray Computed, Magnetic Resonance Imaging, Algorithms, Pelvis

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36999653

Usability of Semiautomatic Segmentation Algorithms for Tumor Volume Determination

Autoři: Sabine Levegrün Wolfgang Schlegel Malte L. Bahner a další

Zdroj: Investigative Radiology. 34:143-150

Témata: Observer Variation, Phantoms, Imaging, Liver Neoplasms, Reproducibility of Results, Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, Fruit, Vegetables, Disease Progression, Animals, Humans, Cattle, Tomography, X-Ray Computed, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/9951794
http://journals.lww.com/00004424-199902000-00007
http://www.ncbi.nlm.nih.gov/pubmed/9951794
https://mdanderson.elsevierpure.com/en/publications/usability-of-semiautomatic-segmentation-algorithms-for-tumor-volu

Handwritten ink segmentation algorithms for hyperspectral images of historical documents.

Autoři: Buzzelli, Marco Moronta-Montero, Francisco Fernández-Gualda, Ramón a další

Zdroj: Multimedia Tools & Applications; Sep2025, Vol. 84 Issue 32, p39551-39575, 25p

Témata: HYPERSPECTRAL imaging systems, DEEP learning, INK, THRESHOLDING algorithms, HISTORICAL source material, IMAGE segmentation

Scalable algorithms for semi-automatic segmentation of electron microscopy images of the brain tissue

Autoři: H. Sebastian Seung, Frédo Durand and Nir Shavit. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Zlateski, Aleksandar

Témata: Electrical Engineering and Computer Science., Thesis

URL: http://hdl.handle.net/1721.1/105955

Semiautomatic Segmentation of Glioma on Mobile Devices

Autoři: Ya-Ping Wu Yu-Song Lin Wei-Guo Wu a další

Zdroj: J Healthc Eng

Témata: Observer Variation, Radiotherapy, Brain Neoplasms, Normal Distribution, Brain, Reproducibility of Results, Neuroimaging, Glioma, 02 engineering and technology, Magnetic Resonance Imaging, 3. Good health, Machine Learning, 03 medical and health sciences, 0302 clinical medicine, 13. Climate action, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Cluster Analysis, Humans, Diagnosis, Computer-Assisted, Algorithms, Cell Phone, Research Article

Přístupová URL adresa: http://downloads.hindawi.com/journals/jhe/2017/8054939.pdf
https://pubmed.ncbi.nlm.nih.gov/29065648
https://pubmed.ncbi.nlm.nih.gov/29065648/
https://www.ncbi.nlm.nih.gov/pubmed/29065648
https://core.ac.uk/display/88536820
https://www.hindawi.com/journals/jhe/2017/8054939/
https://downloads.hindawi.com/journals/jhe/2017/8054939.pdf
http://europepmc.org/articles/PMC5504950

ITK-SNAP: An interactive tool for semi-automatic segmentation of multi-modality biomedical images

Autoři: Guido Gerig Yang Gao Paul A. Yushkevich

Zdroj: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :3342-3345

Témata: 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, Brain Neoplasms, Image Processing, Computer-Assisted, Humans, Magnetic Resonance Imaging, Multimodal Imaging, Algorithms, Software

Přístupová URL adresa: https://europepmc.org/articles/pmc5493443?pdf=render
https://pubmed.ncbi.nlm.nih.gov/28269019

Recursive weighted 2-Means split algorithm for under-segmentation reduction

Autoři: Magylaitė, Kornelija Arlauskas, Lukas Ryselis, Karolis

Témata: weighted K-Means, human body segmentation, random forest

Popis souboru: application/pdf

Přístupová URL adresa: https://vb.ktu.edu/KTU:ELABAPDB184884115&prefLang=en_US

Ensemble-Based Refinement of Landmark Annotations for DNA Ploidy Analysis in Digital Pathology.

Autoři: Jónás, Viktor Zoltán Küttel, Dániel Molnár, Béla a další

Zdroj: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p11892, 14p

Témata: ANNOTATIONS, IMAGE segmentation, MICROSCOPY, ALGORITHMS, CHROMOSOME analysis, CYTOMETRY

Quantification of Right and Left Ventricular Function in Cardiac MR Imaging: Comparison of Semiautomatic and Manual Segmentation Algorithms

Autoři: Universidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías da Información Universidade de Santiago de Compostela. Departamento de Electrónica e Computación Universidade de Santiago de Compostela. Departamento de Psiquiatría, Radioloxía e Saúde Pública a další

Témata: Cardiac cine magnetic resonance imaging (MRI), Segmentation, Ejection fraction (EF), Right ventricular function, Left ventricular function, journal article

URL: http://hdl.handle.net/10347/17712
https://doi.org/10.3390/diagnostics3020271
https://doi.org/10.3390/diagnostics3020271

Cross-domain subcortical brain structure segmentation algorithm based on low-rank adaptation fine-tuning SAM.

Autoři: Sui, Yuan Hu, Qian Zhang, Yujie

Zdroj: BMC Medical Imaging; 7/1/2025, Vol. 25 Issue 1, p1-21, 21p

Témata: WEIGHT training, ARTIFICIAL intelligence, BRAIN anatomy, SEGMENTATION (Biology), LOW-rank matrices, SIGNAL convolution

Enhanced SOLOv2: An Effective Instance Segmentation Algorithm for Densely Overlapping Silkworms.

Autoři: Yuan, Jianying Li, Hao Cheng, Chen a další

Zdroj: Sensors (14248220); Sep2025, Vol. 25 Issue 18, p5703, 19p

Témata: SILKWORMS, IMAGE segmentation, CONVOLUTIONAL neural networks

Semi-Automatic Segmentation of Vertebral Bodies in MR Images of Human Lumbar Spines.

Autoři: Kim, Sewon Bae, Won C Masuda, Koichi a další

Zdroj: Applied sciences (Basel, Switzerland). 8(9)

Témata: MR spine image, correlation, graph-based segmentation, semi-automatic segmentation, vertebral body, Bioengineering

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/8cn057wt
https://escholarship.org/content/qt8cn057wt/qt8cn057wt.pdf

Quantification of right and left ventricular function in cardiac MR imaging: Comparison of semiautomatic and manual segmentation algorithms

Autoři: Martínez Monzonís, Maria Amparo Carreira Villamor, José Martín Souto Bayarri, José Miguel

Zdroj: RUNA. Repositorio da Consellería de Sanidade e Sergas
Servizo Galego de Saúde (SERGAS)

Přístupová URL adresa: http://hdl.handle.net/20.500.11940/4203

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Autoři: Zenk, Maximilian Baid, Ujjwal Pati, Sarthak a další

Zdroj: Nature Communications; 7/8/2025, Vol. 16 Issue 1, p1-20, 20p

Témata: FEDERATED learning, BENCHMARKING (Management), DATA protection laws, TUMOR classification, ALGORITHMS, MEDICAL technology

Annotated Dataset for Training Cloud Segmentation Neural Networks Using High-Resolution Satellite Remote Sensing Imagery.

Autoři: He, Mingyuan Zhang, Jie He, Yang a další

Zdroj: Remote Sensing; Oct2024, Vol. 16 Issue 19, p3682, 18p

Témata: OBJECT recognition (Computer vision), REMOTE sensing, DEEP learning, CLOUD computing, ALGORITHMS

Semi-Automatic Segmentation Software for Quantitative Clinical Brain Glioblastoma Evaluation

Autoři: Kian Setayesh Hiroto Hatabu Raymond Y. Huang a další

Zdroj: Academic Radiology. 19:977-985

Témata: Brain Neoplasms, Software Validation, Reproducibility of Results, Image Enhancement, Magnetic Resonance Imaging, Sensitivity and Specificity, Pattern Recognition, Automated, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Subtraction Technique, Image Interpretation, Computer-Assisted, Humans, Glioblastoma, Algorithms, Software

Přístupová URL adresa: https://europepmc.org/articles/pmc3515056?pdf=render
https://pubmed.ncbi.nlm.nih.gov/22591720
https://pubmed.ncbi.nlm.nih.gov/22591720/
https://www.sciencedirect.com/science/article/pii/S1076633212001808
https://scholars.houstonmethodist.org/en/publications/semiautomatic-segmentation-software-for-quantitative-clinical-brain-glioblastoma-evaluation(a96f8e8f-9aa8-4e97-8151-5ff4ee537755).html
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3515056
http://europepmc.org/articles/PMC3515056
https://scholars.houstonmethodist.org/en/publications/semi-automatic-segmentation-software-for-quantitative-clinical-br

A Multiphase Validation of Atlas-Based Automatic and Semiautomatic Segmentation Strategies for Prostate MRI

Autoři: Spencer Martin Alexander V. Louie Hamid R. Tizhoosh a další

Zdroj: International Journal of Radiation Oncology*Biology*Physics. 85:95-100

Témata: Male, Observer Variation, Analysis of Variance, Time Factors, Software Validation, Prostate, Prostatic Neoplasms, Magnetic Resonance Imaging, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Medical Illustration, Humans, Algorithms, Radiotherapy, Image-Guided

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/22572076
https://pubmed.ncbi.nlm.nih.gov/22572076/
https://www.sciencedirect.com/science/article/pii/S0360301612004233
http://www.osti.gov/scitech/biblio/22149711
http://www.sciencedirect.com/science/article/pii/S0360301612004233