Volume : VIII, Issue : V, May - 2018
Convolution Neural Network Classifier for Skin Disease Detection
Ms. Seema Kolkur, Dr. D. R. Kalbande, Dr. Vidya Kharkar
Abstract :
Skin Diseases are becoming very common now days. Number of people suffering from skin diseases is increasing rapidly.
Human judgment on diagnosis of skin diseases is sometimes subjective and not reproducible. To achieve more reliable
and objective accuracy computer aided diagnosis may be used. Skin disease detection is basically an image classification task. Recently deep
learning is used in many image classification tasks. We used Convolution Neural Network (CNN) as a classifier. The results indicate CNN can be
feasibly used for skin disease detection. The main advantage of CNN is that we don‘t need to hand craft features from images, but it learns features
on its own.
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DOI : 10.36106/ijar
Cite This Article:
Ms. Seema Kolkur, Dr. D. R. Kalbande, Dr. Vidya Kharkar, Convolution Neural Network Classifier for Skin Disease Detection, INDIAN JOURNAL OF APPLIED RESEARCH : Volume-8 | Issue-5 | May-2018
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Ms. Seema Kolkur, Dr. D. R. Kalbande, Dr. Vidya Kharkar, Convolution Neural Network Classifier for Skin Disease Detection, INDIAN JOURNAL OF APPLIED RESEARCH : Volume-8 | Issue-5 | May-2018
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