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Deep into the Brain: Artificial Intelligence in Stroke Imaging.Connecting Technological Innovation in Artificial Intelligence to Real-world Medical Practice through Rigorous Clinical Validation: What Peer-reviewed Medical Journals Could Do.From hype to reality: data science enabling personalized medicineRise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision MedicineArtificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United StatesThe developing role of FDG PET imaging for prognostication and radiotherapy target volume delineation in non-small cell lung cancerAge of Data in Contemporary Research Articles Published in Representative General Radiology JournalsApplication of artificial intelligence in ophthalmologyPerformance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis
P2860
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P2860
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh
2017年學術文章
@zh-hant
name
Deep Learning in Medical Imaging: General Overview.
@en
type
label
Deep Learning in Medical Imaging: General Overview.
@en
prefLabel
Deep Learning in Medical Imaging: General Overview.
@en
P2093
P2860
P1476
Deep Learning in Medical Imaging: General Overview.
@en
P2093
Guk Bae Kim
Hyunna Lee
Joon Beom Seo
June-Goo Lee
Namkug Kim
Sanghoon Jun
Young-Won Cho
P2860
P304
P356
10.3348/KJR.2017.18.4.570
P577
2017-05-19T00:00:00Z