Abstract
One of the most prevalent issues in women's reproductive struggles are uterine tumors, fibroids, myomas (leiomyomas), and malignant versions (leiomyosarcoma, endometrial cancer). People's quality of life and life expectancy are decreased when things are discovered too late. Conventional diagnostic techniques are time-consuming, prone to mistakes, and require the assistance of a gynecologist and radiologist.
The creation of a hybrid algorithm for the automated segmentation and benign/malignant categorization of uterine tumors based on ultrasonography (USG), magnetic resonance imaging (MRI), tomography (CT), and its clinical testing constitutes the scientific research.
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