Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jim Winkens"'
Autor:
Reena Chopra, Jim Winkens, Geraint Rees, Jason Yim, Gabriella Moraes, Trevor Back, Annette Obika, Clemens Meyer, Pearse A. Keane, Marc Wilson, Jeffrey De Fauw, Jonathan Mark Dixon, Marko Lukic, Harry Askham, Katrin Fasler, Joseph R. Ledsam, Terry Spitz, Mustafa Suleyman, Josef Huemer, Cian Hughes, Christopher Kelly, Alan Karthikesalingam, Dominic King, Peng T. Khaw, Demis Hassabis
Publikováno v:
Nature Medicine. 26:892-899
Progression to exudative 'wet' age-related macular degeneration (exAMD) is a major cause of visual deterioration. In patients diagnosed with exAMD in one eye, we introduce an artificial intelligence (AI) system to predict progression to exAMD in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbc51f346429a271c52d2de98ba8f2c8
https://doi.org/10.1038/s41591-020-0867-7
https://doi.org/10.1038/s41591-020-0867-7
Autor:
Alan Karthikesalingam, Umesh Telang, Basil Mustafa, Nick Pawlowski, A. Taylan Cemgil, Vivek T. Natarajan, Greg S. Corrado, Jim Winkens, Peggy Bui, Abhijit Guha Roy, Yun Liu, Zachary Beaver, Yuan Liu, Patricia MacWilliams, Samantha Winter, Shekoofeh Azizi, Balaji Lakshminarayanan, Jan Freyberg, Nam Vo, Aaron Loh, Jie Ren
We develop and rigorously evaluate a deep learning based system that can accurately classify skin conditions while detecting rare conditions for which there is not enough data available for training a confident classifier. We frame this task as an ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29f1481559c5e1a317545f81769528df
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009335
MICCAI (2)
MICCAI (2)
We propose a new model for digital pathology segmentation, based on the observation that histopathology images are inherently symmetric under rotation and reflection. Utilizing recent findings on rotation equivariant CNNs, the proposed model leverage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f00dd9c4dd4e1a03467f6a224f53f09
https://doi.org/10.1007/978-3-030-00934-2_24
https://doi.org/10.1007/978-3-030-00934-2_24