Computational pathology in ovarian cancer

Computational pathology in ovarian cancer

Histopathologic evaluations of tissue sections are key to diagnosing and managing ovarian cancer. Pathologists empirically assess and integrate visual information, such as cellular density, nuclear atypia, mitotic figures, architectural growth patterns, and higher-order patterns, to determine the tu...

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Bibliographic Details
Main Authors: Sandra Orsulic, Joshi John, Ann E. Walts, Arkadiusz Gertych
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Oncology
Subjects:
artificial intelligence
computational pathology
convolutional neural network (CNN)
deep learning
artificial neural network
digital pathology
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.924945/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.924945/full

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