A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapy
Abstract Early regression—the regression in tumor volume during the initial phase of radiotherapy (approximately 2 weeks after treatment initiation)—is a common occurrence during radiotherapy. This rapid radiation-induced tumor regression may alter target coordinates, necessitating adaptive radiothe...
Main Authors: | Shohei Tanaka, Noriyuki Kadoya, Yuto Sugai, Mariko Umeda, Miyu Ishizawa, Yoshiyuki Katsuta, Kengo Ito, Ken Takeda, Keiichi Jingu |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-05-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-12170-z |
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