Skin Disease Detection and Classification Using CNN Algorithm
Mamidi Gayathri , Yegireddi Praveen , Kusumanchi Gnaneswara Rao , Rudrapankati Maneesha , Dalai Mahesh
Convolutional Neural Network, Diagnosis, Skin Diseases, Accuracy, Sensitivity, Specificity
Dermatology's complexity makes it challenging to diagnose accurately using traditional methods. An automated image-based approach utilizing machine learning can improve diagnostic accuracy. The method involves filtering and enhancing skin photographs, extracting features with techniques like Convolutional Neural Networks (CNNs), and using algorithms like SoftMax to classify and generate diagnostic reports. This approach promises greater accuracy and faster results compared to conventional diagnostic methods in dermatology.
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Unique Paper ID: 164482

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 864 - 866
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