The efficacy of deep learning models in the diagnosis of endometrial cancer using mri: a comparison with radiologists

HIGHLIGHTS

  • who: Aiko Urushibara from the This retrospective study was approved by the Ethics Committee of University of Tsukuba Hospital (approval number:, ) and the requirement for written informed consent was waivedAll methods were carried out in accordance with relevant guidelines and regulations. Study design have published the paper: The efficacy of deep learning models in the diagnosis of endometrial cancer using MRI: a comparison with radiologists, in the Journal: (JOURNAL)
  • what: This study constructed CNNs for diagnosing endometrial cancer using several sequences and crosssections and its combination to validate for optimal CNN imaging conditions, and compared . . .

     

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