Multi-modality deep learning model reaches high prediction accuracy in the diagnosis of ovarian cancer

Multi-modality deep learning model reaches high prediction accuracy in the diagnosis of ovarian cancer

Summary: We evaluated the diagnostic performance of a multimodal deep-learning (DL) model for ovarian mass differential diagnosis. This single-center retrospective study included 1,054 ultrasound (US)-detected ovarian tumors (699 benign and 355 malignant). Patients were randomly divided into trainin...

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Bibliographic Details
Main Authors: Zimo Wang, Shuyu Luo, Jing Chen, Yang Jiao, Chen Cui, Siyuan Shi, Yang Yang, Junyi Zhao, Yitao Jiang, Yujuan Zhang, Fanhua Xu, Jinfeng Xu, Qi Lin, Fajin Dong
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:iScience
Subjects:
diagnostics
cancer
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224006242

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http://www.sciencedirect.com/science/article/pii/S2589004224006242

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