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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Vydáno v:	Medical physics (Lancaster) Ročník 46; číslo 1; s. e1 - e36
Hlavní autoři:	Sahiner, Berkman, Pezeshk, Aria, Hadjiiski, Lubomir M., Wang, Xiaosong, Drukker, Karen, Cha, Kenny H., Summers, Ronald M., Giger, Maryellen L.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States John Wiley and Sons Inc 01.01.2019
Témata:	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
On-line přístup:	Získat plný text
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