A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials

5 Mar 2020Antong ChenJennifer SaouafBo ZhouRandolph CrawfordJianda YuanJunshui MaRichard BaumgartnerShubing WangGregory Goldmacher

Herein we propose a deep learning-based approach for the prediction of lung lesion response based on radiomic features extracted from clinical CT scans of patients in non-small cell lung cancer trials. The approach starts with the classification of lung lesions from the set of primary and metastatic lesions at various anatomic locations... (read more)

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