Deep Learning Algorithm for Automated Detection of Polycystic Ovary Syndrome Using Scleral Images

Deep Learning Algorithm for Automated Detection of Polycystic Ovary Syndrome Using Scleral Images

The high prevalence of polycystic ovary syndrome (PCOS) among reproductive-aged women has attracted more and more attention. As a common disorder that is likely to threaten women’s health physically and mentally, the detection of PCOS is a growing public health concern worldwide. In this paper, we p...

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Bibliographic Details
Main Authors: Wenqi Lv, Ying Song, Rongxin Fu, Xue Lin, Ya Su, Xiangyu Jin, Han Yang, Xiaohui Shan, Wenli Du, Qin Huang, Hao Zhong, Kai Jiang, Zhi Zhang, Lina Wang, Guoliang Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Endocrinology
Subjects:
polycystic ovary syndrome
deep learning
multi-instance learning
convolutional neural networks
sclera
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2021.789878/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2021.789878/full

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