An ai-based colonic polyp classifier for colorectal cancer screening using low-dose abdominal ct

HIGHLIGHTS

• who: Islam Alkabbany and collaborators from the Computer Vision and Image Processing Laboratory, University of Louisville, Louisville, KY, USA have published the paper: An AI-Based Colonic Polyp Classifier for Colorectal Cancer Screening Using Low-Dose Abdominal CT, in the Journal: Sensors 2022, 22, 9761. of /2022/
• what: This work proposes an AI-based polyp detection framework for virtual colonoscopy (VC). The authors evaluate the performance of the proposed framework on low-dose Computed Tomography (CT) scans. Using OC as the groundtruth (gold standard), the study showed that per-patient (i.e., patient`s own . . .
  

   

  

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