Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images

Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images

Abstract PCOS (Poly-Cystic Ovary Syndrome) is a multifaceted disorder that often affects the ovarian morphology of women of their reproductive age, resulting in the development of numerous cysts on the ovaries. Ultrasound imaging typically diagnoses PCOS, which helps clinicians assess the size, shap...

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Bibliographic Details
Main Authors: S. Reka, T. Suriya Praba, Mukesh Prasanna, Vanipenta Naga Nithin Reddy, Rengarajan Amirtharajan
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Poly-cystic ovary syndrome
Enhanced super resolution generative adversarial networks
Segment anything model
Convolutional neural network
Online Access:https://doi.org/10.1038/s41598-025-01744-2
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https://doi.org/10.1038/s41598-025-01744-2

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