A CNN-Transformer trained on longitudinal 3D MRIs claims high accuracy for predicting next-scan hepatocellular carcinoma, but its time-aware positional encoding reveals the future diagnosis date to the model.
, author Arefan, D
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A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction
A CNN-Transformer trained on longitudinal 3D MRIs claims high accuracy for predicting next-scan hepatocellular carcinoma, but its time-aware positional encoding reveals the future diagnosis date to the model.