A Review on Medical Image Analysis with Convolutional Neural Networks
Paarth Bir, Valentina Emilia Bălaş · 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON) · 2020
Over the last few years, deep learning has grown rapidly from a promising to a viable option to analyze medical images. With an increase in use of medical imaging for diagnosis and treatment, the field offers a significant potential for research. A major advantage offered by deep learning is using large amounts of data to avoid tedious hand-crafting of features which requires extensive domain knowledge. This review introduces a few popular algorithms using Convolutional Neural Networks(CNNs) being used in the field along with their applications: Classification, Detection, Segmentation, Registration and Image Enhancement. The paper further provides some useful resources on some of the most promising anatomical areas of application in medical image analysis with Convolutional Neural Networks: brain, breast, chest, eye and skin.