Automated detection of knee cystic lesions on magnetic resonance imaging using deep learning

HIGHLIGHTS

• who: Qin Yanguo from the The University of Sydney, Australia have published the research work: Automated detection of knee cystic lesions on magnetic resonance imaging using deep learning, in the Journal: (JOURNAL)
• what: This study introduced a deep learning model for the auto-detection of knee cystic lesions to address this knowledge gap. This study showed frontiersin.org 10.3389/fmed.2022.928642 that the basic deep learning model Yolo V5 could handle the cyst-detection task, attaining F1, precision, and mAP scores of 0.832, 0.843, and 0.821, respectively.
• how . . .
  

   

  

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