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Such algorithms has been widely used in the field of science for solving and analyzing problems related to healthcare by using different techniques for image analysis for obtaining information effectively. DL requires data to get information but, when combined with the medicinal data, makes the work complex for the researcher. Once the data is obtained, it can be applied accordingly in different field of medicine like prognosis, diagnosis, treatment, and clinical workflow. DL concept is used to build tool for skin cancer detection in dermatology [22]. Neural network training using DL method is applied for the computation of diabetic retinopathy severity by using the strength of pixels in fundus image [23].