Retraction Notice: Investigation of Deep Learning Schemes in Medical Application

Abstract

Deep learning models are equipped for thinking out how to concentrate on the correct features without anyone else's input, requiring a little direction from the software engineer. Essentially, deep learning mirrors how our brain is functioning to take decisions. Deep learning techniques are highly applied in medical imaging diagnosis. Deep learning techniques are used in medical applications in four different areas i. Detections ii. Classifications iii. Segmentations iv. Registrations. In this paper we have discussed deep learn scheme advantage, dataset, software and hardware used in medical applications. Further, we discussed the comparative analysis of medical application using deep learning techniques.

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