Ensemble Feature Extraction-Based Detection of Abnormal Mass Present in Medical Images Using Machine Learning

Abstract

Use of computer-aided diagnosis systems has been increasing in the medical domain due to the rising complexity and amount of medical data. Well-defined feature descriptors are must for computer-aided diagnostic systems. In this research paper, we attempt to create an ensembled feature extractor and selector for better classification of normal and abnormal medical images using different machine learning algorithms. In this research paper, two different data sets will be used one for oral cancer histopathology images and one for brain tumor MR images. The comparison of various feature extraction techniques will be done, and result analysis will also be provided at the end.