• A. V. Kanade
• Mayuri Jadhav
• Anushka Jadhav
• Mayuri Kulkarni
• Durga Nanware

Recently many deep learning techniques are emerging which enable development of intelligent medical imaging-based diagnosis systems that can assist medical experts in making better decisions. Here we are going to device a model that will focus on skin lesion classification. In this model machine learning techniques will be used for early melanoma detection by classifying the image as malignant or benign. The process of detection will include image processing methods such as image conversion and feature extraction. The processed image will then be used to train a Machine Learning model, which will be developed using Artificial Neural Networks like Back Propagation and Feed Forward networks. This trained model can then be used for detection of an image as cancerous or non-cancerous

"Prediction of Skin Diseases Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.d914-d917, June-2021, Available :http://www.jetir.org/papers/JETIR2106539.pdf

"Prediction of Skin Diseases Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppd914-d917, June-2021, Available at : http://www.jetir.org/papers/JETIR2106539.pdf