Clustering Techniques in Medical Analysis using Deep Representations

Abstract

The advancement of image processing techniques in the area of clustering using traditional features is still not getting the human expected results. Image content plays a major role in most of the current realtime applications. Processing of images to get user requested analysis is one of the promising domains nowadays. The medical analysis is still in the infancy stage with this traditional image features. To overcome this current advancement in the area of deep learning uses deep features instead of traditional features. Several techniques were proposed using deep clustering in the medical field. Different applications are using different deep clustering techniques in this domain. This paper aims to address various deep clustering techniques used in medical analysis and also discuss the interesting insights which can be useful for current medical analysis.