Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs

Author:

Feng Mary,Valdes Gilmer,Dixit Nayha,Solberg Timothy D.

Publisher

Frontiers Media SA

Subject

Cancer Research,Oncology

Reference70 articles.

1. Precision oncology: an overview;Garraway;J Clin Oncol,2013

2. Patient-centric trials for therapeutic development in precision oncology;Biankin;Nature,2015

3. Quantitative analyses of normal tissue effects in the clinic (QUANTEC): an introduction to the scientific issues;Bentzen;Int J Radiat Oncol Biol Phys,2010

4. Imagenet classification with deep convolutional neural networks;Krizhevsky,2012

5. Mastering the game of go with deep neural networks and tree search;Silver;Nature,2016

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