Gastroenterology Review (Jul 2023)

The role of deep learning in diagnosing colorectal cancer

  • Dimitrios Bousis,
  • Georgios-Ioannis Verras,
  • Konstantinos Bouchagier,
  • Andreas Antzoulas,
  • Ioannis Panagiotopoulos,
  • Anastasia Katinioti,
  • Dimitrios Kehagias,
  • Charalampos Kaplanis,
  • Konstantinos Kotis,
  • Christos-Nikolaos Anagnostopoulos,
  • Francesk Mulita

DOI
https://doi.org/10.5114/pg.2023.129494
Journal volume & issue
Vol. 18, no. 3
pp. 266 – 273

Abstract

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Colon cancer is a major public health issue, affecting a growing number of individuals worldwide. Proper and early diagnosis of colon cancer is the necessary first step toward effective treatment and/or prevention of future disease relapse. Artificial intelligence and its subtypes, deep learning in particular, tend nowadays to have an expanding role in all fields of medicine, and diagnosing colon cancer is no exception. This report aims to summarize the entire application spectrum of deep learning in all diagnostic tests regarding colon cancer, from endoscopy and histologic examination to medical imaging and screening serologic tests.

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