Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chengkuan Chen"'
Autor:
Chengkuan Chen, Ming Y. Lu, Drew F.K. Williamson, Tiffany Y. Chen, Andrew J. Schaumberg, Faisal Mahmood
Publikováno v:
Journal of Pathology Informatics, Vol 13, Iss , Pp 100046- (2022)
Externí odkaz:
https://doaj.org/article/a6414a37558641edb650d57eede588f7
Autor:
Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Andrew J. Schaumberg, Faisal Mahmood
Publikováno v:
Nature Biomedical Engineering. 6:1420-1434
The adoption of digital pathology has enabled the curation of large repositories of gigapixel whole-slide images (WSIs). Computationally identifying WSIs with similar morphologic features within large repositories without requiring supervised trainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d60537189b855398d4606eda2b9e451
https://doi.org/10.1038/s41551-022-00929-8
https://doi.org/10.1038/s41551-022-00929-8
Autor:
Jana Lipkova, Richard J. Chen, Bowen Chen, Ming Y. Lu, Matteo Barbieri, Daniel Shao, Anurag J. Vaidya, Chengkuan Chen, Luoting Zhuang, Drew F.K. Williamson, Muhammad Shaban, Tiffany Y. Chen, Faisal Mahmood
Publikováno v:
Cancer Cell. 40:1095-1110
In oncology, the patient state is characterized by a whole spectrum of modalities, ranging from radiology, histology, and genomics to electronic health records. Current artificial intelligence (AI) models operate mainly in the realm of a single modal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ba37f7f31e973b118a4c56e022bae17
https://doi.org/10.1016/j.ccell.2022.09.012
https://doi.org/10.1016/j.ccell.2022.09.012
Publikováno v:
CIKM
Machine learning has been a rising technique in signatureless malware detection and is popular in the anti-virus industry. Despite the powerful ability of machine learning, it is known to be vulnerable to attack by injecting specially crafted input n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13a2ce58184ca052bc9025258b05de0b
https://doi.org/10.1145/3459637.3481956
https://doi.org/10.1145/3459637.3481956
Autor:
Faisal Mahmood, Ming Y. Lu, Drew F. K. Williamson, Muhammad Shaban, Tiffany Y. Chen, Chengkuan Chen, Richard J. Chen
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872366
MICCAI (8)
MICCAI (8)
Cancer prognostication is a challenging task in computational pathology that requires context-aware representations of histology features to adequately infer patient survival. Despite the advancements made in weakly-supervised deep learning, many app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80bb2b90f81c6d04b41777fc9911c96b
https://doi.org/10.1007/978-3-030-87237-3_33
https://doi.org/10.1007/978-3-030-87237-3_33
