This work presents a new method for multi-task learning that aims to increase the performance of the regression task, using the support of the segmentation task. While requiring further validation to guarantee the increase in performance, the preliminary data of this study suggests that using a ”helper” function might increase performance on the main task. In our study, a better performance of the survival prediction model was observed on the validation set when using the multi-task network, compared to a simpler single-task process.
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