Real-time intraoperative identification of malignant ovarian tumors using deep learning of clinical gross specimen images

Objective: Ovarian cancer is one of the most common gynecologic malignancies with high mortalities. A proper operation strategy is key to improve patients’ prognosis. However, a timely intra-operative identification of malignant ovarian tumor is challenging for clinical physicians. This study aims t...

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Bibliografski detalji

Glavni autori:	Chih-Hsuan Sao, Ying-Chu Shih, Shih-Yao Lin, Yen-Hou Chang, Albert C. Yang, Yi-Jen Chen
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2026-07-01
Serija:	Taiwanese Journal of Obstetrics & Gynecology
Teme:	Ovarian tumor Clinical gross specimen image Deep learning
Online pristup:	http://www.sciencedirect.com/science/article/pii/S1028455926001634
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