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Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study.

Simon GrahamFayyaz Ul Amir Afsar MinhasMohsin BilalMahmoud AliYee Wah TsangMark EastwoodNoorul WahabMostafa JahanifarEmily HeroKatherine DoddHarvir SahotaShaobin WuWenqi LuAyesha S AzamKsenija BenesMohammed NimirKatherine HewittAbhir BhaleraoAndrew RobinsonHesham EldalyShan E Ahmed RazaKishore GopalakrishnanDavid R J SneadNasir M Rajpoot
Published in: Gut (2023)
The model achieved consistently high accuracy showing its potential in optimising increasingly scarce pathologist resources. Explainable predictions can guide pathologists in their diagnostic decision-making and help boost their confidence in the algorithm, paving the way for its future clinical adoption.
Keyphrases
  • decision making
  • ultrasound guided
  • deep learning
  • machine learning
  • neural network
  • current status
  • convolutional neural network
  • electronic health record
  • endoscopic submucosal dissection