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Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review

Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review

Jack Breen
Katie Allen
K. Zucker
P. Adusumilli
A. Scarsbrook
Geoff Hall
Nicolas M. Orsi
Nishant Ravikumar
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Papers citing "Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review"

2 / 2 papers shown
Title
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images
Tian-peng Liu
R. Su
Changming Sun
Xiu-Ting Li
Leyi Wei
44
20
0
11 Oct 2022
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation
D. J. Ho
M. Chui
Chad M. Vanderbilt
J. Jung
M. Robson
Chan-Sik Park
Jin Roh
Thomas J. Fuchs
91
25
0
28 Mar 2022

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