Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement

HIGHLIGHTS

• who: Seongwon Na from the Department of Radiology and Research Institute of Radiology, University Songpau2011gu, Seoul, Republic of Korea have published the Article: Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement, in the Journal: (JOURNAL)
• what: The individual deep learning model is developed through InceptionResNetv2 and transfer learning and the authors propose Image Quality Check-Net (Image QC-Net) an ensemble AI model that utilizes it. The authors aimed to develop comprehensive AI techniques to classify body parts and contrast enhancement simultaneously . . .
  

   

  

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