Deep learning in medical imaging and radiation therapy

The goals of this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) summarize what has been achieved to date; (b) identify common and unique challenges, and strategies that researchers have taken to address these challenges; and (c) identify some of the promising...

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Bibliographic Details
Published in:	Medical physics (Lancaster) Vol. 46; no. 1; pp. e1 - e36
Main Authors:	Sahiner, Berkman, Pezeshk, Aria, Hadjiiski, Lubomir M., Wang, Xiaosong, Drukker, Karen, Cha, Kenny H., Summers, Ronald M., Giger, Maryellen L.
Format:	Journal Article
Language:	English
Published:	United States John Wiley and Sons Inc 01.01.2019
Subjects:	computer‐aided detection/characterization Deep Learning deep learning, machine learning Diagnostic Imaging - methods Humans Image Processing, Computer-Assisted Radiotherapy - methods reconstruction Review segmentation Signal-To-Noise Ratio treatment treatment reconstruction segmentation deep learning, machine learning computer-aided detection/characterization
ISSN:	0094-2405, 2473-4209, 2473-4209
Online Access:	Get full text
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