Automatic Cancer Detection Using Decision Making Dataset Algorithm

Abstract

In this research, two steps were used to improve the appearance of the acquired bone marrow slide images. These two techniques are to create the dataset using the cancerous images and make decision for images (whether cancerous or non cancerous).Use of both techniques together produced better results. Several features were extracted to test whether an image is cancerous or non cancerous. These features include: mean, standard deviation and variance for red channel, green channel and blue channel separately of the image. Then, the test image is also processed for these features. Finally based upon the calculated features of the dataset and that of the test image, we will conclude that the given image is cancerous or not.