Abstract :

Medical image segmentation, a crucial task in modern healthcare, plays a pivotal role in disease diagnosis, treatment planning, and medical research. Accurate and efficient segmentation of medical images is essential for identifying and isolating specific structures or regions of interest. This project presents an innovative approach to medical image segmentation utilizing Artificial Intelligence and Machine Learning (AIML) techniques. By harnessing the power of AIML algorithms, this system automates the segmentation process, ensuring precision, consistency, and speed in medical image analysis. The project explores advanced segmentation methodologies, focusing on enhancing the accuracy of medical diagnoses and supporting healthcare professionals in making informed decisions.