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Deep learning in medical imaging and radiation therapy
2018
Medical Physics (Lancaster)
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 avenues for the future both in terms of applications as well as technical innovations. We introduce the general principles of DL and convolutional neural networks, survey five major areas of
doi:10.1002/mp.13264
pmid:30367497
pmcid:PMC9560030
fatcat:bottst5mvrbkfedbuocbrstcnm