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Skin Disease Detection and Classification Using CNN Algorithm

  • Unique Paper ID: 164482
  • Volume: 10
  • Issue: 12
  • PageNo: 864-866
  • Abstract:
  • 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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  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 12
  • PageNo: 864-866

Skin Disease Detection and Classification Using CNN Algorithm

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