Review on Deep Learning based Medical Image Processing
Aman Agarwal, Rakesh Kumar, Meenu Gupta
Abstract
Deep learning (DL) has made extensive progress in many exploration regions. Computer vision is one of the most trending fields advancing due to extensive research in developing DL models, mainly focusing on image pattern recognition. These days, numerous specialists attempt to track down answers for issues in different fields under the illumination of DL techniques. In this review, important information is added about DL models and testing points specialists can use in DL. This study explored DL and concentrates on what advancements are made in the most famous fields, for example, Medical Image segmentation, automated disease classification, 4D Motion Estimation, etc. Moreover, this study discusses the leftover difficulties of these examination regions that DL can tackle and talks about future subjects to help scientists, especially in handling Medical Images.