review Open AccessTop 1% cited
Artificial intelligence in radiology
Nature reviews. Cancer · 2018 · Vol. 18(8) · pp. 500–510
Ahmed Hosny✉(Harvard University)Chintan Parmar(Harvard University)John Quackenbush(Dana-Farber Cancer Institute)Lawrence H. Schwartz(NewYork–Presbyterian Hospital)Hugo J.W.L. Aerts(Harvard University)
Radiomics and Machine Learning in Medical ImagingAI in cancer detectionLung Cancer Diagnosis and TreatmentPaceComputer scienceConvolutional neural networkDeep learningArtificial intelligenceField (mathematics)Medical imagingFocus (optics)Perspective (graphical)Domain (mathematical analysis)
MeSH terms
Machine LearningDeep LearningAlgorithmsArtificial IntelligenceHumansImage Processing, Computer-AssistedNeoplasmsPattern Recognition, AutomatedRadiology
Citations
3,504
FWCI
163.38
field-weighted impact
References
119
Percentile
100%
vs. same field & year
Citations per year
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