A cohort-aware neural network improves generalizability of radiomic/dosiomic models for predicting radiotherapy-induced hematologic toxicity by learning shared and cohort-specific features with contrastive regularization.
A radiomics approach for predicting acute hematologic toxicity in patients with cervical or endometrial cancer undergoing external-beam radiotherapy
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Prediction of Radiotherapy-Induced Hematologic Toxicity in Cervical Cancer with Cohort-Aware Framework
A cohort-aware neural network improves generalizability of radiomic/dosiomic models for predicting radiotherapy-induced hematologic toxicity by learning shared and cohort-specific features with contrastive regularization.