Deep Learning and Medical Diagnosis: A Review of Literature

Multimodal Technologies and Interaction

Mihalj Bakator¹  Dragica Radosav¹ 

[1] Technical Faculty “Mihajlo Pupin” in Zrenjanin, University of Novi Sad, Djure Djakovica bb, 23000 Zrenjanin, Serbia;

关键词: deep learning;    medical diagnosis;    segmentation;    CNN;   

DOI  :  10.3390/mti2030047

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown