Medical imaging is important in a variety of clinical activities, including early detection, monitoring, an opinion, and therapy evaluation of many medical diseases. grasp medical image analysis in a computer vision requires a solid grasp of the principles and operations of artificial neural networks, as well as deep literacy. Deep Learning Approach (DLA) in medical image processing is emerging as a rapidly increasing research subject. DLA has been widely utilised in medical imaging to characterise the presence or absence of a complaint. The vast majority of DLA executions focus on X-ray pictures, motorised tomography images, mammography images, and digital histopathology images. It presents a rigorous assessment of studies based on DLA for bracketing, discovery, and segmentation of medical pictures. This review directs the experimenters' assumptions.

Keywords : Artificial Neural Networks, Deep Literacy, Deep Learning Approach (DLA), Motorized Tomography, Mammography Images, Digital Histopathology Images.