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Abstract High-grade serous ovarian carcinoma (HGSC) is characterized by late presentation, frequent recurrence, and treatment resistance. Our understanding of this disease is limited, partly due to considerable tumor heterogeneity, which is reflected in the variable tumor morphology. Beyond the diagnosis itself, no particular histologic features have proven sensitive or specific enough for use in clinical practice. Image analysis based deep learning models are now able to extract new information from standard H 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84 (5 Suppl₂): Abstract nr B097.
Laury et al. (Mon,) studied this question.