Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Mitchell Nursey"'
Autor:
Colin Chen, Aline Talhouk, Yiping Wang, Jason Peng, Basile Tessier-Cloutier, Anne M. Mills, Adrian B. Levine, David Farnell, Julia R. Naso, C. Blake Gilks, Derek S. Chiu, Hossein Farahani, Hezhen Ren, Ali Bashashati, Naveena Singh, Philip P.C. Ip, Maziar Riazy, Mitchell Nursey, Stephen Yip, Brandon S. Sheffield, David G. Huntsman, Tim Salcudean, Steven J.M. Jones, T Salisbury, Jonathan Lee, Carlos Parra-Herran
Publikováno v:
The Journal of Pathology. 252:178-188
Deep learning-based computer vision methods have recently made remarkable breakthroughs in the analysis and classification of cancer pathology images. However, there has been relatively little investigation of the utility of deep neural networks to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1220a0d90564ea5218d60dc3a818ea82
https://doi.org/10.1002/path.5509
https://doi.org/10.1002/path.5509
Autor:
David Farnell, Aline Talhouk, Carlos Parra-Herran, Philip P.C. Ip, Derek S. Chiu, Brandon S. Sheffield, Anne M. Mills, Tim Salcudean, Basile Tessier-Cloutier, Ali Bashashati, Stephen Yip, Yi Kan Wang, Maziar Riazy, Mitchell Nursey, T Salisbury, Sjm Jones, Adrian B. Levine, J Peng, C. B. Gilks, Naso, Hossein Farahani, Naveena Singh, David G. Huntsman, Jae-Hyeok Lee, Charles Chen, Hezhen Ren
Deep learning-based computer vision methods have recently made remarkable breakthroughs in the analysis and classification of cancer pathology images. However, there has been relatively little investigation of the utility of deep neural networks to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9c0af76e88338cf59ad8fcc6af45301
https://doi.org/10.1101/2020.02.24.963553
https://doi.org/10.1101/2020.02.24.963553
