The Role of Artificial Intelligence in Interventional Oncology: A Primer-Reference-Cited by-同舟云学术

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The Role of Artificial Intelligence in Interventional Oncology: A Primer

Published:2019-01 Issue:1 Volume:30 Page:38-41.e1
ISSN:1051-0443
Container-title:Journal of Vascular and Interventional Radiology
language:en
Short-container-title:Journal of Vascular and Interventional Radiology

Author:

Letzen Brian,Wang Clinton J.,Chapiro Julius

Funder

Radiological Society of North America

National Institutes of Health

Rolf W. Günther Foundation for Radiological Research

Boston Scientific

Philips Healthcare

Guerbet

German-Israeli Foundation for Scientific Research and Development

Eisai Research Institute of Boston

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference14 articles.

1. Machine learning for medical imaging;Erickson;Radiographics,2017

2. Deep learning with convolutional neural network for differentiation of liver masses at dynamic contrast-enhanced CT: a preliminary study;Yasaka;Radiology,2018

3. Predicting treatment response to intra-arterial therapies for hepatocellular carcinoma with the use of supervised machine learning—an artificial intelligence concept;Abajian;J Vasc Interv Radiol,2018

4. Interventional oncology: the fourth pillar of oncology;Kim;Cancer J,2016

5. Pattern Recognition and Machine Learning;Bishop,2006

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