Rapid polyp classification in colonoscopy using textural and convolutional features

HIGHLIGHTS

  • who: Chung-Ming Lo et al. from the Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan have published the article: Rapid Polyp Classification in Colonoscopy Using Textural and Convolutional Features, in the Journal: Healthcare 2022, 10, 1494. of 10/07/2022
  • what: To provide a quick and objective assessment to gastroenterologists this study proposed a quantitative polyp classification via various image features in colonoscopy. To explore the classification ability and practice in clinical diagnosis, this study proposes using CAD systems for polyp classification in colorectal endoscopic images . . .

     

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