Innovative Machine Learning Approaches for Accurate Fibroid Detection in Uterine Ultrasound Imaging
M Sakthimohan, R C Sabarna, S Varshini, C Prathap, Gopi Krishnan P, Elizabeth Rani G · 2025
Uterine fibroids are benign growths within the uterus that often lead to major health challenges, such as heavy menstrual bleeding, pelvic discomfort, and infertility. Accurate treatment requires early and precise diagnosis, but traditional imaging methods frequently depend on clinicians’ expertise, resulting in potential errors. The current research introduces an innovative system of fibroid detection based on deep learning technology, using a feature extraction method with Convolutional Neural Networks (CNN), followed by KNN classifiers on ultrasound images. The system performance is tested on various parameters, which ensures dependable, efficient identification of fibroids. This approach minimizes reliance on expert knowledge, reduces error rates, and offers a non-invasive, inexpensive method for detecting fibroids at an early stage by integrating CNN and KNN.