Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma.

For SEQC-NB, a consistent correlation emerges between classifiers’ performance and INSS stage, as shown in Fig 5 , reporting the percentage of correct classification during the DAP training: samples with INSS stage 1 are better classified than samples in different stages, with a decreasing trend for increasing disease severity; samples with INSS 4 result the hardest to classify.

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