整合内和周放射学与深度转移学习用于DCE-MRI乳腺损伤差异化:一项多中心研究,与放射科医生比较性能

Tao Yu1, Renqiang Yu2, Mengqi Liu2

  • 1Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China; State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, China.

PubMed
概括

这项研究融合了乳腺MRI的放射学和深度学习特征,以准确区分良性和恶性瘤. 先进的融合模型优于放射科医生,提高了乳腺癌的诊断准确度.

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