E-Healthcare System for Disease Detection Based on Medical Image Classification Using CNN

Abstract

With the advancement of the internet, the e-commerce sector has seen a tremendous opportunity in the field for e-healthcare, which has resulted in decrement of labor cost, faster insurance claims, and much more. Machine learning has paved various regimes, which the future of medical treatment and teaching could be based upon. Thereafter, with the advent of these methods, the timeline of extracting and segregating patients started to become a more straightforward process. The sorting process could be primarily based on symptoms, medical reports, and medical test results. Had this been based on human interpretation, it may render itself limited due to subjectivity, complexity, and factors of human error. Thus, herein, the method of convolution neural network (CNN)-based algorithm is applied on x-ray data sets to determine brain tumor and coronavirus in patients. The authors also try to provide a short snapshot of what the future could be for the medical industry with the incorporation of deep learning to access and cure various diseases.