Charting the Progress: Deep Learning Techniques in Medical Image Segmentation

Abstract

In medical image analysis and clinical diagnosis Image segmentation plays a vital role. A Significant development have been done using Neural networks on the classification and segmentation of medical images over the past decades. Deep Learning is an advanced area of machine learning that has been widely used in various applications, proving to be an effective method for addressing many complex issues. A number of deep learning-based methods have been applied to medical image segmentation and achieved promising results. Considering the remarkable breakthroughs made by state-of-the-art technologies, We, present this survey as a comprehensive study of recently developed deep learning-based segmentation techniques, particularly in the context of medical images, and we also examine the performance trends of deep learning models over time.