Deep Learning for Clinical Image Analysis
T Thangarasan, Mohankrishna Potnuru, P. S. Ramesh, T J Nandhini, S. Surendran, A Balaji · 2024
This is especially evident in the field of medical image processing, where convolutional networks in particular and deep learning in general have been driving recent breakthroughs. This study evaluates the main deep learning themes that are pertinent for application across over 300 articles on medical image analysis, almost all of which were published within the last year. The chapter covers a variety of deep learning-related topics, including segmentation, object classification, picture registration, and many more. A synopsis of the examinationsBreath-related Neuro Retinal Pulmonary Electronic Pathology gastrointestinal and musculoskeletal disorders Now that we've reached the last category, we can finally wrap up with a cross-cutting viewpoint and a current overview of the field, followed by a few test cases that raise problems that will be explained in future works.