Predicting local persistence/recurrence after radiation therapy for head and neck cancer from pet/ct using a multi-objective, multi-classifier radiomics model

HIGHLIGHTS

  • who: Qiongwen Zhang from the Hospital, Japan Southern Medical University, China have published the research work: Predicting local persistence/recurrence after radiation therapy for head and neck cancer from PET/CT using a multi-objective, multi-classifier radiomics model, in the Journal: (JOURNAL)
  • what: In the mCOM model, multiple classifiers were used to create the model; sensitivity and specificity were considered simultaneously as the objectives to guide the model construction. HEad and neCK TumOR (HECKTOR) challenge, organized as a satellite event of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) from . . .

     

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