Skin Disease Prediction |
Author(s): |
| Jagtap Tusharkumar kailas , Late.G.N.Sapakal College of Engineering , Nashik; Gaware Omkar Vinayak, Late.G.N.Sapakal College of Engineering , Nashik; Shinde Hritik Prashant, Late.G.N.Sapakal College of Engineering , Nashik; Maurya Sandeep Ramnath, Late.G.N.Sapakal College of Engineering , Nashik |
Keywords: |
| TensorFlow, Keras, Deap Learing, Convolutional Neural Network, Dataset, Python |
Abstract |
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This method is mobile based and hence very accessible even in remote areas and it is completely noninvasive to patient's skin. The patient provides an image of the infected area of the skin as an input to the prototype. Image processing techniques are performed on this image and the detected disease is displayed at the output. The proposed system is highly beneficial in rural areas where access to dermatologists is limited. |
Other Details |
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Paper ID: IJSRDV9I40305 Published in: Volume : 9, Issue : 4 Publication Date: 01/07/2021 Page(s): 262-266 |
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