1. Application to detect skin cancer using cnn
Authors : Bharath Atresh. N, Tejas. S, Achyut. S. Kulkarni, Karthik. P, S. Srividhya
Pages : 8-13
DOI : http://dx.doi.org/10.21172/1.171.02
Keywords : Machine Learning, CNN, Image Classification, Skin Cancer. Abstract :The proposed work is an application to detect Skin Cancer, which is a software designed to identify the skin cancer in humans. In today’s world many people ignore the rashes on the skin assuming that, it will be due to allergies which may lead to skin cancers and diseases. The project aims to solve these kinds of problems that human face in their day to day life. The application is designed in Python, which mainly concentrates on Machine Learning Algorithms such as Convolutional Neural Networks. A model is developed by training with sample images of different kinds of skin cancer and diseases. An Android application accepts a contaminated image as input where minimum resolution of image is 8MP. The images will be compared with the trained data set. Before comparing the image with the trained data set, a series of questions will be asked regarding skin issue symptoms and depending upon the answers given by the user the machine comes to a conclusion on type of cancer or disease based upon the training data set. Depending on the predicted result, the user will be notified with the remedies.
Citing this Journal Article :Bharath Atresh. N, Tejas. S, Achyut. S. Kulkarni, Karthik. P, S. Srividhya, "Application to detect skin cancer using cnn", Volume 17 Issue 1 - July 2020, 8-13
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