Segmentation of brain tumor in MRI using AI assistedActive region contour model

Abstract

The application of Active Region Contour Models (ARCMs) is a sophisticated method for precisely delineating brain tumors in MRI images. ARCMs, also known as active contours or snakes, dynamically evolve over the images, adapting to tumors' complex and irregular shapes. The segmentation process involves the initiation of a contour near the tumor boundaries, followed by iterative adjustments guided by internal and external forces. These contours' "active" nature allows them to handle intensity variations within MRI images, a common challenge in tumor imaging.This article explores the integration of artificial intelligence (AI) with the active region contour model, presenting an innovative approach that combines the adaptability of active contours with the power of AI for more precise and efficient brain tumor segmentation in MRI.