Date of Publication :20th September 2017

Abstract: Deep Learning is a sub-area of Machine Learning, which deals with the recognition, processing, interpretation and classification of images, text, speech, etc. Disease identification and diagnosis of ailments is at the forefront of ML research in medicine. It is especially interesting for the medical field, which conducts the analysis and diagnostics based mainly on images. A wide variety of technologies and tools are involved in the diagnostic process like the Health IT. Health IT plays key roles in various aspects of the diagnostic process: capturing information about a patient that informs the diagnostic process, including the clinical history and interview, physical exam, and diagnostic testing results; shaping a clinician’s workflow and decision making in the diagnostic process; and facilitating information exchange. This iterative, time-consuming process is costly as it causes threat to many people’s lives. Deep Learning aims at delivering faster, accurate medical diagnostic services for patients. The potential of this technique not only assists in medical decisions and the accuracy of the diagnosis, but also assists the medical specialist to suggest treatment measures to improve speed and performance.

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