Arman Groji
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View article: Censor-aware semi-supervised survival time prediction in lung cancer using clinical and radiomics features
Censor-aware semi-supervised survival time prediction in lung cancer using clinical and radiomics features Open
Aim: Lung cancer remains a major global health challenge, and this study presents a censor-aware semi-supervised learning framework (SSL) that integrates clinical and imaging data to improve prognostic modeling and address biases in handli…
View article: Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features
Censor-Aware Semi-Supervised Survival Time Prediction in Lung Cancer Using Clinical and Radiomics Features Open
Objectives: Lung cancer poses a significant global health challenge, necessitating improved prognostic methods for personalized treatment. This study introduces a censor-aware semi-supervised learning (SSL) framework that integrates clinic…