Skin Cancer Classification using Deep Learning and Image Processing |
Author(s): |
| Akanksha Ashok Godse , Rajarshi Shahu Maharaj Polytechnic, Nashik; Awatade Sneha Jayram, Rajarshi Shahu Maharaj Polytechnic, Nashik; Dhongade Priyanka Pandharinath, Rajarshi Shahu Maharaj Polytechnic, Nashik; Godse Akanksha Ashok, Rajarshi Shahu Maharaj Polytechnic, Nashik; Desale Dhanshree Deepak, Rajarshi Shahu Maharaj Polytechnic, Nashik |
Keywords: |
| Skin Cancer Classification, Deep Learning and Image Processing |
Abstract |
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Dermatology often involves complex and time-consuming diagnostic processes, influenced by practitioner expertise. To address this, we propose an automated system for skin disease diagnosis using machine learning. The system processes and enhances skin images, extracts features via Convolutional Neural Networks (CNNs), and classifies them using a softmax classifier. This approach ensures faster and more accurate results compared to traditional methods, making it an effective tool for dermatological diagnosis and a valuable resource for medical education. |
Other Details |
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Paper ID: IJSRDV12I90086 Published in: Volume : 12, Issue : 9 Publication Date: 01/12/2024 Page(s): 86-87 |
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