Analyzing Medical Images through Advanced Deep Learning Models

Deep learning (DL) approaches have quickly gained popularity as a preferred tool for assessing medical picture segmentation. Deep Learning Approach (DLA) for healthcare image processing is a rapidly expanding study topic. DLA has been frequently employed for use in medical imaging for recognizing disease presence or absence. The majority of DLA implementations focus on X-ray pictures, computed tomography images, breast images, and digitized histopathology photographs. It presents a comprehensive review of publications for DLA-based categorization, identification, and delineation of medical pictures. This review assists researchers in considering relevant adjustments to medical imaging analysis according to DLA.