Advancements in Healthcare Services using Deep Learning Techniques

Abstract

Deep learning (DL) is the technique encouraging clinical staff and physicians to work on a variety of data using DL algorithms. DL techniques have given a rise in the medical facilities with better accuracy and early detection of disease. These techniques in medical imaging are one of the most trending topics among the researchers across the globe. To perceive the advantages and disadvantages of the recent techniques in medical science, several researchers have discussed techniques for classification, detection and segmentation of the medical data. Medical data is of two types, one is the electronic data and second, manual data collected from surveys and clinics. This paper gives insight into DL techniques in healthcare along with their merits and demerits. Further, a description of the most significant datasets in healthcare has been given. It also gives a brief of various challenges faced by the researchers to implement new techniques.

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