Open AccessClassification of skin cancer images using TensorFlow and inception v3
Author(s) -
B. Venkata Sai,
Narasimha Rao G,
M. M. Ramya,
Sujana Sree Y,
T. Anuradha
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.7.10930
Subject(s) - artificial intelligence , skin cancer , convolutional neural network , computer science , pattern recognition (psychology) , deep learning , cancer , convolution (computer science) , artificial neural network , computer vision , machine learning , medicine
It is easy for a human eye to distinguish the images of similar appearance but classifying the images like that of cancer affected skin requires more expertise. And as the skin cancer cases are increasing globally, it requires more number of human experts. To overcome this problem, many people are working on constructing machine learning classifiers which can detect skin cancer automatically by classifying skin images. This paper concentrates on developing an approach for predicting skin cancer by classifying images using deep convolution neural network. The proposed work is tested on standard cancer dataset and obtained more than 85% accuracy.