Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data

Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data

Abstract Polycystic Ovarian Disease or Polycystic Ovary Syndrome (PCOS) is becoming increasingly communal among women, owing to poor lifestyle choices. According to the research conducted by National Institutes of Health, it has been observe that PCOS, an endocrine condition common in women of child...

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Bibliographic Details
Main Authors: Kogilavani Shanmugavadivel, Murali Dhar M S, Mahesh T R, Taher Al-Shehari, Nasser A. Alsadhan, Temesgen Engida Yimer
Format: Article
Language:English
Published: BMC 2024-10-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Polycystic ovary syndrome
VGG16
Transfer learning
Machine learning
CNN
Deep learning
Online Access:https://doi.org/10.1186/s12911-024-02688-9

Internet

https://doi.org/10.1186/s12911-024-02688-9

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