Comparing deep learning and handcrafted radiomics to predict chemoradiotherapy response for locally advanced cervical cancer using pretreatment MRI
Abstract Concurrent chemoradiotherapy (CRT) is the standard treatment for locally advanced cervical cancer (LACC), but its responsiveness varies among patients. A reliable tool for predicting CRT responses is necessary for personalized cancer treatment. In this study, we constructed prediction model...
Main Authors: | Sungmoon Jeong, Hosang Yu, Shin-Hyung Park, Dongwon Woo, Seoung-Jun Lee, Gun Oh Chong, Hyung Soo Han, Jae-Chul Kim |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-01-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-51742-z |
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