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Multimodal Technologies Interact. 2018, 2(3), 47;

Deep Learning and Medical Diagnosis: A Review of Literature

Technical Faculty “Mihajlo Pupin” in Zrenjanin, University of Novi Sad, Djure Djakovica bb, 23000 Zrenjanin, Serbia
Author to whom correspondence should be addressed.
Received: 20 June 2018 / Revised: 10 August 2018 / Accepted: 14 August 2018 / Published: 17 August 2018
(This article belongs to the Special Issue Deep Learning)
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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. View Full-Text
Keywords: deep learning; medical diagnosis; segmentation; CNN deep learning; medical diagnosis; segmentation; CNN

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Bakator, M.; Radosav, D. Deep Learning and Medical Diagnosis: A Review of Literature. Multimodal Technologies Interact. 2018, 2, 47.

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