Multi-task learning-based feature selection and classification models for glioblastoma and solitary brain metastases

HIGHLIGHTS

  • who: Ya Huang from the Shandong Cancer Hospital, China Yale University, United States have published the article: Multi-task learning-based feature selection and classification models for glioblastoma and solitary brain metastases, in the Journal: (JOURNAL) of December/31,/2018
  • what: In the current study, the proposed multi-task learning based on the logistic loss function can be used not only for feature selection but also for tumor classification tasks. To further verify the feasibility of the model , the ROC (receiver operating characteristics) curves of the model are compared with those of four other multi . . .

     

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