Development and validation of a deep learning pipeline to diagnose ovarian masses using ultrasound screening: a retrospective multicenter studyResearch in context

Development and validation of a deep learning pipeline to diagnose ovarian masses using ultrasound screening: a retrospective multicenter studyResearch in context

Summary: Background: Ovarian cancer has the highest mortality rate among gynaecological malignancies and is initially screened using ultrasound. Owing to the high complexity of ultrasound images of ovarian masses and the anatomical characteristics of the deep pelvic cavity, subjective assessment re...

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Main Authors: Wen-Li Dai, Ying-Nan Wu, Ya-Ting Ling, Jing Zhao, Shuang Zhang, Zhao-Wen Gu, Li-Ping Gong, Man-Ning Zhu, Shuang Dong, Song-Cheng Xu, Lei Wu, Li-Tao Sun, De-Xing Kong
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:EClinicalMedicine
Subjects:
Deep learning
Ovarian cancer
Ovarian mass
Ultrasound
Artificial intelligence pipeline
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537024005029
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