Performance Analysis of a Novel Hybrid Segmentation Method for Polycystic Ovarian Syndrome Monitoring

• Main Authors: Nazarudin, Asma’ Amirah, Zulkarnain, Noraishikin, Mokri, Siti Salasiah, Wan Zaki, Wan Mimi Diyana, Hussain, Aini, Ahmad, Mohd Faizal, Mohd Nordin, Najaa Aimi
• Format: Article
• Language: English
• Published: Mdpi 2023
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/9373/1/J15891_a3d347f8edddeb01c372c95d56a57036.pdf; http://eprints.uthm.edu.my/9373/; https://doi.org/10.3390/diagnostics13040750

Experts have used ultrasound imaging to manually determine follicle count and perform measurements, especially in cases of polycystic ovary syndrome (PCOS). However, due to the laborious and error-prone process of manual diagnosis, researchers have explored and developed medical image processing te...