Deep Learning and Medical Diagnosis: A Review of Literature

Abstract

In this review the application of deep learning for medical diagnosis is addressed. A thorough analysis of various scientific articles in the domain of deep neural networks application in the medical field has been conducted. More than 300 research articles were obtained, and after several selection steps, 46 articles were presented in more detail. The results indicate that convolutional neural networks (CNN) are the most widely represented when it comes to deep learning and medical image analysis. Furthermore, based on the findings of this article, it can be noted that the application of deep learning technology is widespread, but the majority of applications are focused on bioinformatics, medical diagnosis and other similar fields.

Abstract of "Deep Learning and Medical Diagnosis: A Review of Literature" by Mihalj Bakator, Dragica Radosav, https://doi.org/10.3390/mti2030047, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.