Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans
2021
Hwan-ho Cho | Ho Yun Lee | Eunjin Kim | Geewon Lee | Jonghoon Kim | Junmo Kwon | Hyunjin Park
Cho et al. use a radiomics-guided deep-learning approach to model the prognosis of lung adenocarcinoma from CT scan data. This study demonstrates the utility of this technology as a predictive approach for stratifying clinical prognostic groups.
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