نتائج البحث - "Yun Bo Guo"

1

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

المساهمون: University of Oxford [Oxford], Arab Academy for Science, Technology and Maritime Transport [Alexandria] (AASTMT), University College of London [London] (UCL), Middle East Technical University, Faculty of Education, Ankara, Turkey, Laboratoire de Recherche et de Développement de l'EPITA (LRDE), Ecole Pour l'Informatique et les Techniques Avancées (EPITA), Centre de Recherche en Automatique de Nancy (CRAN), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL), Université de Versailles Saint-Quentin-en-Yvelines - UFR Sciences de la santé Simone Veil (UVSQ Santé), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Hôpital Ambroise Paré [AP-HP]

المصدر: Medical Image Analysis
Medical Image Analysis, Elsevier, 2021, 70, pp.102002. ⟨10.1016/j.media.2021.102002⟩

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Health Informatics, Machine learning, computer.software_genre, Health informatics, Endoscopy, Gastrointestinal, Machine Learning (cs.LG), 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Robustness (computer science), Humans, Radiology, Nuclear Medicine and imaging, Segmentation, 030304 developmental biology, 0303 health sciences, Class (computer programming), Modality (human–computer interaction), Radiological and Ultrasound Technology, business.industry, Deep learning, Usability, Computer Graphics and Computer-Aided Design, Thresholding, 3. Good health, Artificial Intelligence (cs.AI), [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Computer Vision and Pattern Recognition, Artificial intelligence, Artifacts, business, computer, Algorithms

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6657ea260aa09fa8716736c1b740ae00

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2

Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study

المؤلفون: Yun Bo Guo, Jorge Bernal, Bogdan J. Matuszewski

المصدر: Journal of Imaging
Volume 6
Issue 7
Journal of Imaging, Vol 6, Iss 69, p 69 (2020)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona

مصطلحات موضوعية: Data augmentation, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, ablation tests, 02 engineering and technology, lcsh:Computer applications to medicine. Medical informatics, cross-validation, Article, lcsh:QA75.5-76.95, Cross-validation, 030218 nuclear medicine & medical imaging, Image (mathematics), 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Radiology, Nuclear Medicine and imaging, Segmentation, lcsh:Photography, Electrical and Electronic Engineering, Polyp segmentation, Image resolution, Network model, I520, business.industry, I500, food and beverages, Pattern recognition, Image segmentation, lcsh:TR1-1050, Computer Graphics and Computer-Aided Design, Fully convolutional dilation neural networks, Ablation tests, Key (cryptography), lcsh:R858-859.7, Deep neural networks, 020201 artificial intelligence & image processing, lcsh:Electronic computers. Computer science, Computer Vision and Pattern Recognition, Artificial intelligence, fully convolutional dilation neural networks, business, polyp segmentation, data augmentation

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f01c23e3c5d035f968043c8d080d651d

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3

Polyp Segmentation with Fully Convolutional Deep Dilation Neural Network

المؤلفون: Bogdan J. Matuszewski, Yun Bo Guo

المصدر: Communications in Computer and Information Science ISBN: 9783030393427
MIUA

مصطلحات موضوعية: Artificial neural network, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Early detection, Dilation (morphology), Pattern recognition, Segmentation, Artificial intelligence, Image segmentation, business, Network configuration, Cross-validation

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::717500f807901ba77db46f195335d466
https://doi.org/10.1007/978-3-030-39343-4_32

4

Role of FK506-binding protein in Ca2+ spark regulation

المؤلفون: Shi-Qiang Wang, Zheng Chen, Haihong Ye, Peng Zhou, Qi Yuan, Yan-Ting Zhao, Xue-Xin Fan, Guangju Ji, Yun-Bo Guo, Hua-Qian Yang

المصدر: Science Bulletin. 62:1295-1303

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::111ff714ebac93199cefb4482997c93c
https://doi.org/10.1016/j.scib.2017.09.009

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Find this article in full text from Springer Verlag.

5

Compartmentalized β1-adrenergic signalling synchronizes excitation-contraction coupling without modulating individual Ca2+ sparks in healthy and hypertrophied cardiomyocytes

المؤلفون: Peng Zhou, Ming Xu, Yun-Bo Guo, Li-Peng Wang, Shi-Qiang Wang, Yu-Jie Ren, Yan-Ting Zhao, Hua-Qian Yang

المصدر: Cardiovascular research. 116(13)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79a12da4a09d37a75d37b7772b280c0b
https://pubmed.ncbi.nlm.nih.gov/32647874

6

GIANA Polyp Segmentation with Fully Convolutional Dilation Neural Networks

المؤلفون: Yun Bo Guo, Bogdan J. Matuszewski

المصدر: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
VISIGRAPP (4: VISAPP)

مصطلحات موضوعية: F990, Artificial neural network, Computer science, business.industry, 020208 electrical & electronic engineering, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Early detection, Pattern recognition, 02 engineering and technology, Residual, Convolutional neural network, Kernel (image processing), 0202 electrical engineering, electronic engineering, information engineering, Dilation (morphology), 020201 artificial intelligence & image processing, Segmentation, Artificial intelligence, business