Detection of Polycystic Ovary Syndrome

Detection of Polycystic Ovary Syndrome

Description

CNN-based neural network architecture extracts important deep features from sclera images and multi-instance learning model predicts PCOS. Deep Learning Algorithm for Automated Detection of Polycystic Ovary Syndrome Using Scleral Images

Creator

Tsinghua University, Peking University Third Hospital, National Engineering Research Center for Beijing Biochip Technology

Information

Pediatrics or Adult

Adult

Speciality

Endocrinology

Modality

Camera

Training

Full-eye images of 721 Chinese women, among which 388 are PCOS patients

Github

Publication

FDA

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