Optical diagnosis in still images of colorectal polyps: comparison between expert endoscopists and PolyDeep, a Computer-Aided Diagnosis system
Pedro Davila-Piñón; Pedro Davila-Piñón; Alba Nogueira-Rodríguez; Alba Nogueira-Rodríguez; Astrid Irene Díez-Martín; Astrid Irene Díez-Martín; Laura Codesido; Laura Codesido · 2024 · Frontiers in Oncology
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Abstract
BackgroundPolyDeep is a computer-aided detection and classification (CADe/x) system trained to detect and classify polyps. During colonoscopy, CADe/x systems help endoscopists to predict the histology of colonic lesions.ObjectiveTo compare the diagnostic performance of PolyDeep and expert endoscopists for the optical diagnosis of colorectal polyps on still images.MethodsPolyDeep Image Classification (PIC) is an in vitro diagnostic test study. The PIC database contains NBI images of 491 colorectal polyps with histological diagnosis. We evaluated the diagnostic performance of PolyDeep and four e
Abstract by Pedro Davila-Piñón; Pedro Davila-Piñón; Alba Nogueira-Rodríguez; Alba Nogueira-Rodríguez; Astrid Irene Díez-Martín; Astrid Irene Díez-Martín; Laura Codesido; Laura Codesido, Frontiers in Oncology (2024) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.3389/fonc.2024.1393815