-
1
المؤلفون: Samuel Budd, Bernhard Kainz, Emma C. Robinson
المساهمون: Innovate UK, Engineering and Physical Sciences Research Council (EPSRC), Engineering & Physical Science Research Council (EPSRC)
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Active learning, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computer Science - Human-Computer Interaction, Health Informatics, 09 Engineering, 030218 nuclear medicine & medical imaging, Domain (software engineering), Machine Learning (cs.LG), Human-Computer Interaction (cs.HC), 03 medical and health sciences, 0302 clinical medicine, Deep Learning, Medical image analysis, Image Processing, Computer-Assisted, FOS: Electrical engineering, electronic engineering, information engineering, Human-in-the-Loop, Humans, Human-in-the-loop, Radiology, Nuclear Medicine and imaging, 11 Medical and Health Sciences, Focus (computing), Radiological and Ultrasound Technology, business.industry, Deep learning, Image and Video Processing (eess.IV), Electrical Engineering and Systems Science - Image and Video Processing, Computer Graphics and Computer-Aided Design, Data science, Nuclear Medicine & Medical Imaging, Key (cryptography), Computer Vision and Pattern Recognition, Artificial intelligence, business, 030217 neurology & neurosurgery
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a615583b4a0de775dbdf1d20dbbe5f0
http://hdl.handle.net/10044/1/87353 -
2
المؤلفون: Sebastien Ourselin, Brian Hutton, Tom Vercauteren, Kris Thielemans, Thomas Varsavsky, Manuel Jorge Cardoso, Alexander Hammers, Pawel J. Markiewicz, Kerstin Kläser, David Atkinson
المصدر: Medical Image Analysis
مصطلحات موضوعية: Technology, SEGMENTATION, Health Informatics, Computed tomography, Convolutional neural network, SYNTHETIC CT, Computer Science, Artificial Intelligence, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Engineering, 0302 clinical medicine, Reconstruction error, medicine, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, MR to CT synthesis, Engineering, Biomedical, Mathematics, Positron emission tomography–magnetic resonance imaging, Ground truth, Science & Technology, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Radiology, Nuclear Medicine & Medical Imaging, Imitation learning, Deep learning, Gold standard (test), Computer Graphics and Computer-Aided Design, Imitative Behavior, Magnetic Resonance Imaging, Positron-Emission Tomography, Computer Science, Computer Science, Interdisciplinary Applications, Computer Vision and Pattern Recognition, EMISSION, Nuclear medicine, business, Tomography, X-Ray Computed, Life Sciences & Biomedicine, Correction for attenuation, 030217 neurology & neurosurgery, GENERATION
وصف الملف: Print-Electronic
-
3
المؤلفون: Ismail Irmakci, Sanjay K. Jain, Rodney LaLonde, Ulas Bagci, Ziyue Xu
المساهمون: Ege Üniversitesi
المصدر: Med Image Anal
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Capsules, Health Informatics, Regularization (mathematics), Pre-clinical imaging, Article, Machine Learning (cs.LG), 030218 nuclear medicine & medical imaging, Lung segmentation, 03 medical and health sciences, 0302 clinical medicine, Transformation matrix, Market segmentation, FOS: Electrical engineering, electronic engineering, information engineering, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Radiological and Ultrasound Technology, business.industry, Image and Video Processing (eess.IV), Biomedical image, Pattern recognition, Electrical Engineering and Systems Science - Image and Video Processing, Magnetic Resonance Imaging, Computer Graphics and Computer-Aided Design, 3. Good health, Task (computing), Neural Networks, Computer, Computer Vision and Pattern Recognition, Artificial intelligence, Routing (electronic design automation), Thigh MRI segmentation, Tomography, X-Ray Computed, business, Capsule network, 030217 neurology & neurosurgery
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e73b1827fefabff7474bab30d76dc73
https://hdl.handle.net/11454/69705 -
4
المؤلفون: Dean C. Barratt, Zachary M. C. Baum, Yipeng Hu
المصدر: Medical Image Analysis
مصطلحات موضوعية: FOS: Computer and information sciences, Male, Computer Science - Machine Learning, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computation, Feature extraction, Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Health Informatics, Article, Machine Learning (cs.LG), 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, FOS: Electrical engineering, electronic engineering, information engineering, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Point (geometry), Computer vision, Transformer (machine learning model), image-guided interventions, Ultrasonography, Radiological and Ultrasound Technology, Heuristic, business.industry, Image and Video Processing (eess.IV), Prostate, Prostatic Neoplasms, Point set registration, Function (mathematics), Electrical Engineering and Systems Science - Image and Video Processing, prostate cancer, Computer Graphics and Computer-Aided Design, Magnetic Resonance Imaging, point-set registration, medical image registration, Transformation (function), Computer Science::Computer Vision and Pattern Recognition, Computer Vision and Pattern Recognition, Artificial intelligence, business, 030217 neurology & neurosurgery, Algorithms
-
5
المؤلفون: Antonella Barreca, Alessandro Gambella, Mauro Papotti, Massimo Salvi, Filippo Molinari, Alessandro Mogetta, Luca Molinaro
مصطلحات موضوعية: Pathology, medicine.medical_specialty, Tubular atrophy, Glomeruli segmentation, Health Informatics, Nephron, Deep learning, Digital pathology, Kidney histology, Kidney, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, medicine, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Radiological and Ultrasound Technology, urogenital system, business.industry, Glomerulosclerosis, medicine.disease, Computer Graphics and Computer-Aided Design, medicine.anatomical_structure, Fully automated, Automated algorithm, Computer Vision and Pattern Recognition, Artificial intelligence, Neural Networks, Computer, Atrophy, business, 030217 neurology & neurosurgery, Algorithms
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1ab2f6379ab72813bd7ef907682ec27
http://hdl.handle.net/11583/2898590 -
6
المؤلفون: Jennifer Keegan, Guang Yang, Lei Li, David N. Firmin, Lingchao Xu, Tom Wong, Fuping Wu, Raad Mohiaddin, Xiahai Zhuang
المساهمون: British Heart Foundation
المصدر: Medical Image Analysis
مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Image quality, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Initialization, Contrast Media, Health Informatics, Dice, LGE MRI, Convolutional neural network, 09 Engineering, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Multi-scale CNN, Cicatrix, 0302 clinical medicine, Cut, medicine, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Heart Atria, Graph learning, 11 Medical and Health Sciences, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Pattern recognition, Computer Graphics and Computer-Aided Design, Atrial fibrillation, Magnetic Resonance Imaging, Nuclear Medicine & Medical Imaging, Pulmonary Veins, Left atrium, Scar segmentation, Catheter Ablation, Graph (abstract data type), Computer Vision and Pattern Recognition, Artificial intelligence, Neural Networks, Computer, business, 030217 neurology & neurosurgery
-
7
المصدر: Medical Image Analysis
مصطلحات موضوعية: CNN, Convolutional neural network, EMCCD, Electron-multiplying charge-coupled device, Hyperspectral imaging, MRI, Magnetic resonance imaging, Computer science, Multispectral image, GI, Gastrointestinal, SVM, Support vector machine, computer.software_genre, 09 Engineering, 030218 nuclear medicine & medical imaging, VOF, Variable optical filter, Multispectral imaging, Machine Learning, 0302 clinical medicine, Image Processing, Computer-Assisted, NBI, Narrowband imaging, 11 Medical and Health Sciences, AOTF, Acousto-optic tuneable filter, DPF, Differential pathlength factor, Radiological and Ultrasound Technology, Minimally-invasive surgery, DMD, Digital micromirror device, MSI, Multispectral imaging, Computer Graphics and Computer-Aided Design, RGB, Red, green, blue, INN, Invertible neural network, Nuclear Medicine & Medical Imaging, LOOCV, Leave-one-out cross validation, CT, Computed tomography, Computer Vision and Pattern Recognition, FIGS, Fluorescence image-guided surgery, Diagnostic Imaging, medicine.medical_specialty, FWHM, Full-width at half-maximum, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Health Informatics, LED, Light emitting diode, LCTF, Liquid crystal tuneable filter, Machine learning, Computational imaging, Imaging phantom, Article, HSI, Hyperspectral imaging, 03 medical and health sciences, Artificial Intelligence, White light, medicine, Humans, Radiology, Nuclear Medicine and imaging, MIS, Minimally-invasive surgery, Modalities, business.industry, Deep learning, AI, Artificial intelligence, SNR, Signal-to-noise ratio, NIR, Near infrared, OEM, Original equipment manufacturer, SFDI, Spatial frequency domain imaging, Spectral imaging, Visualization, SSI, Surgical spectral imaging, sCMOS, Scientific complementary metal-oxide-semiconductor, Artificial intelligence, business, computer, 030217 neurology & neurosurgery
-
8
المؤلفون: Pablo Arbeláez, Annika Reinke, Sabrina Kletz, Yueming Jin, Zhen-Liang Ni, Fabian Isensee, Cristina González, Sebastian Bodenstedt, Pål Halvorsen, Lena Maier-Hein, Ruohua Shi, Beat P. Müller-Stich, Hannes Kenngott, Martin Wagner, Yan-Jie Zhou, Kadir Kirtac, Manuel Wiesenfarth, Stefanie Speidel, Stefan Leger, Zhixuan Li, Thuy Nuong Tran, Tingting Jiang, Peter M. Full, Klaus H. Maier-Hein, Patrick Scholz, Laura Bravo-Sánchez, Hua-Bin Chen, Yujie Zhang, Lei Zhu, Annette Kopp-Schneider, Zeng-Guang Hou, Diana Mindroc-Filimon, Liansheng Wang, Gutai Wang, Enes Hosgor, Hellena Hempe, Tobias Roß, Jon Lindström Bolmgren, Pierangela Bruno, Martin Apitz, Michael Riegler, Gui-Bin Bian, Lu Wang, Pheng-Ann Heng, Michael Stenzel, Klaus Schoeffmann, Debesh Jha, Dong Guo, Jiacheng Wang, Isabell Twick
مصطلحات موضوعية: Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Health Informatics, Machine learning, computer.software_genre, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Market segmentation, Motion artifacts, Robustness (computer science), Image Processing, Computer-Assisted, Radiology, Nuclear Medicine and imaging, Segmentation, Radiological and Ultrasound Technology, business.industry, Medical instruments, Benchmarking, Computer Graphics and Computer-Aided Design, Video image, Laparoscopy, Computer Vision and Pattern Recognition, Artificial intelligence, Artifacts, business, computer, Algorithms, 030217 neurology & neurosurgery, Test data
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::015a53cfd5f5fa1877b58b11efc5bae6
https://hdl.handle.net/10037/24876 -
9Evaluation of algorithms for multi-modality whole heart segmentation: An open-access grand challenge
المؤلفون: Thierry Brouard, Qianqian Tong, Mattias P. Heinrich, Guoyan Zheng, Jennifer Keegan, Pheng-Ann Heng, Jean-Yves Ramel, Darko Štern, Weixin Si, Guodong Zeng, Zenglin Shi, Chengjia Wang, David N. Firmin, Xin Yang, Chenchen Sun, Örjan Smedby, Martin Urschler, Lei Li, David E. Newby, Chunliang Wang, Ulas Bagci, Julien Oster, Aliasghar Mortazi, Christian Payer, Raad Mohiaddin, Kawal Rhode, Tom MacGillivray, Xiangyun Liao, Sebastien Ourselin, Gaetan Galisot, Guanyu Yang, Xiahai Zhuang, Guang Yang, Cheng Bian
المساهمون: British Heart Foundation, Computer science department [University College London] (UCL-CS), University College of London [London] (UCL), Shanghai Jiao Tong University [Shanghai], Graz University of Technology [Graz] (TU Graz), Ludwig Boltzmann Institute for Clinical Forensic Imaging [Graz] (LBI-CFI), Institute of Medical Informatics [Lübeck], Universität zu Lübeck [Lübeck], Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Royal Institute of Technology [Stockholm] (KTH ), Department of Biomedical Engineering and Health Systems [Stockholm], Shenzhen University [Shenzhen], Peking University [Beijing], The Chinese University of Hong Kong [Hong Kong], Center for Research in Computer Vision [Orlando] (CRCV), University of Central Florida [Orlando] (UCF), Nanjing Southeast University, Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Reconnaissance des formes et analyse d'images (RFAI), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), School of Computer Science [Wuhan], Wuhan University [China], Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences [Changchun Branch] (CAS), Institute for Surgical Technology and Biomechanics [Bern] (ISTB), University of Bern, Centre for Cardiovascular Science [Edinburgh] (BHF), University of Edinburgh, Division of Imaging Sciences, King‘s College London, Department of Imaging Royal Brompton Hospital, Royal Brompton Hospital, National Heart and Lung Institute [London] (NHLI), Imperial College London-Royal Brompton and Harefield NHS Foundation Trust, This work was funded in part by the National Natural Science Foundation of China (NSFC) grant (61971142), the Science and Technology Commission of Shanghai Municipality grant (17JC1401600) and the British Heart Foundation Project grant (PG/16/78/32402)., Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL)
المصدر: Medical Image Analysis
Medical Image Analysis, Elsevier, 2019, 58, pp.101537. ⟨10.1016/j.media.2019.101537⟩
Zhuang, X, Li, L, Payer, C, Štern, D, Urschler, M, Heinrich, M P, Oster, J, Wang, C, Smedby, Ö, Bian, C, Yang, X, Heng, P-A, Mortazi, A, Bagci, U, Yang, G, Sun, C, Galisot, G, Ramel, J-Y, Brouard, T, Tong, Q, Si, W, Liao, X, Zeng, G, Shi, Z, Zheng, G, Wang, C, MacGillivray, T, Newby, D, Rhode, K, Ourselin, S, Mohiaddin, R, Keegan, J, Firmin, D & Yang, G 2019, ' Evaluation of algorithms for Multi-Modality Whole Heart Segmentation : An open-access grand challenge ', Medical Image Analysis, vol. 58, pp. 101537 . https://doi.org/10.1016/j.media.2019.101537مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Datasets as Topic, Health Informatics, Overfitting, Benchmark, Article, 09 Engineering, 030218 nuclear medicine & medical imaging, Set (abstract data type), 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Image Processing, Computer-Assisted, Humans, symbols.heraldic_charge, Radiology, Nuclear Medicine and imaging, Segmentation, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], Challenge, Multi-modality, 11 Medical and Health Sciences, Radiological and Ultrasound Technology, business.industry, Deep learning, Whole Heart Segmentation, Heart shape, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Heart, Benchmarking, Magnetic Resonance Imaging, Computer Graphics and Computer-Aided Design, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Nuclear Medicine & Medical Imaging, Benchmark (computing), symbols, Computer Vision and Pattern Recognition, Artificial intelligence, Tomography, X-Ray Computed, business, Algorithm, Algorithms, 030217 neurology & neurosurgery, Test data
وصف الملف: application/pdf
-
10
المؤلفون: Hykoush Asaturyan, Barbara Villarini, Antonio Gligorievski
مصطلحات موضوعية: Male, Contrast enhancement, Similarity (geometry), Databases, Factual, Computer science, Health Informatics, Edge detection, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, Other medical sciences, Image Processing, Computer-Assisted, medicine, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Pancreas, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Health sciences, Pattern recognition, Magnetic resonance imaging, Magnetic Resonance Imaging, Computer Graphics and Computer-Aided Design, medicine.anatomical_structure, Computer-aided diagnosis, Clinical medicine, Female, Computer Vision and Pattern Recognition, Artificial intelligence, Tomography, Tomography, X-Ray Computed, business, Algorithms, 030217 neurology & neurosurgery
وصف الملف: text
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934f1b31326511296dede7ce328dc67c
http://eprints.ugd.edu.mk/27656/
إعادة تعيين المنقحات
عرض المنقحات (%%عد%%)