Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI-Reference-Cited by-同舟云学术

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

Author:

Mazurowski Maciej A.¹²³,Buda Mateusz¹,Saha Ashirbani¹^ORCID,Bashir Mustafa R.¹⁴

Affiliation:

1. Department of RadiologyDuke University Durham North Carolina USA

2. Department of Electrical and Computer EngineeringDuke University Durham North Carolina USA

3. Duke Medical Physics ProgramDuke University Durham North Carolina USA

4. Center for Advanced Magnetic Resonance DevelopmentDuke University Durham North Carolina USA

Funder

National Institutes of Biomedical Imaging and Bioengineering

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

Reference125 articles.

2. Imagenet classification with deep convolutional neural networks;Krizhevsky A;In: Adv Neural Inf Process Syst,2012

3. DodgeS KaramL.A study and comparison of human and deep learning recognition performance under visual distortions. arXiv Prepr arXiv1705024982017.

4. RajpurkarP IrvinJ ZhuK et al.CheXNet: Radiologist‐level pneumonia detection on chest x‐rays with deep learning. arXiv Prepr arXiv1711052252017.

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