Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rishi R. Rawat"'
Autor:
Darryl Shibata, Fei Sha, Rishi R. Rawat, Daniel Ruderman, Preeyam Roy, David B. Agus, Itzel Ortega
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports
Scientific Reports
Because histologic types are subjective and difficult to reproduce between pathologists, tissue morphology often takes a back seat to molecular testing for the selection of breast cancer treatments. This work explores whether a deep-learning algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd1ca33f3a925c65b8d0fbc09373f45d
http://link.springer.com/article/10.1038/s41598-020-64156-4
http://link.springer.com/article/10.1038/s41598-020-64156-4
Publikováno v:
NPJ Breast Cancer
npj Breast Cancer, Vol 4, Iss 1, Pp 1-7 (2018)
npj Breast Cancer, Vol 4, Iss 1, Pp 1-7 (2018)
In this pilot study, we introduce a machine learning framework to identify relationships between cancer tissue morphology and hormone receptor pathway activation in breast cancer pathology hematoxylin and eosin (H&E)-stained samples. As a proof-of-co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a82c42d0a2b45a77a2bca48acf2c3eb8
https://doi.org/10.1038/s41523-018-0084-4
https://doi.org/10.1038/s41523-018-0084-4
Autor:
Fabian Corlier, Rishi R. Rawat, Meredith N. Braskie, James T. Becker, George W. Hafzalla, Oscar L. Lopez, Lewis H. Kuller, Paul M. Thompson
Publikováno v:
Alzheimer's & Dementia. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c05f8e17015f51d41cbe43d3281b4bd2
https://doi.org/10.1016/j.jalz.2016.06.1009
https://doi.org/10.1016/j.jalz.2016.06.1009
Publikováno v:
Cancer Research. 78:5295-5295
Our appreciation of the immune system in breast cancer is rapidly evolving. New methods to quantify the composition and spatial distribution of the immune infiltrate from pathology images are urgently needed to develop better strategies to activate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a8615ee79601f320e17ee4e7a2620db
https://doi.org/10.1158/1538-7445.am2018-5295
https://doi.org/10.1158/1538-7445.am2018-5295
Publikováno v:
Cancer Research. 77:540-540
We hypothesized that the spatial arrangement of nuclei in a hematoxylin and eosin (H&E) stained image contains a vast quantity of latent information that is currently underutilized. We tested this hypothesis on the classification of breast cancer bio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::822922c9a62c34f45530c70b1ab38a8b
https://doi.org/10.1158/1538-7445.am2017-540
https://doi.org/10.1158/1538-7445.am2017-540