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Computational pathology in ovarian cancer

29 Jul 2022

Abstract excerpt

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 tumor type and grade, which guides oncologists in selecting appropriate treatment options. Latent data embedded in...

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PMID: 35965569
DOI: 10.3389/fonc.2022.924945

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