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:10.5114/pg.2023.129494

eISSN: 1897-4317
ISSN: 1895-5770

Gastroenterology Review/Przegląd Gastroenterologiczny

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3/2023
vol. 18

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abstract:

Review paper

The role of deep learning in diagnosing colorectal cancer

Dimitrios Bousis

¹

,

Georgios-Ioannis Verras

²

,

Konstantinos Bouchagier

²

,

Andreas Antzoulas

²

,

Ioannis Panagiotopoulos

³

,

Anastasia Katinioti

⁴

,

Dimitrios Kehagias

²

,

Charalampos Kaplanis

²

,

Konstantinos Kotis

⁵

,

Christos-Nikolaos Anagnostopoulos

⁵

,

Francesk Mulita

²

Department of Internal Medicine, General University Hospital of Patras, Patras, Greece
Department of Surgery, General University Hospital of Patras, Patras, Greece
Department of Cardiothoracic Surgery, General University Hospital of Patras, Patras, Greece
Department of Cardiology, Elpis General Hospital, Athens, Greece
Intelligent Systems Lab, Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece

Gastroenterology Rev 2023; 18 (3): 266–273

DOI: https://doi.org/10.5114/pg.2023.129494

Online publish date: 2023/07/17

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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.

keywords:

The role of deep learning in diagnosing colorectal cancer

Dimitrios Bousis 1 , Georgios-Ioannis Verras 2 , Konstantinos Bouchagier 2 , Andreas Antzoulas 2 , Ioannis Panagiotopoulos 3 , Anastasia Katinioti 4 , Dimitrios Kehagias 2 , Charalampos Kaplanis 2 , Konstantinos Kotis 5 , Christos-Nikolaos Anagnostopoulos 5 , Francesk Mulita 2

medical imaging, deep learning, endoscopy, artificial intelligence, histologic examination, colorectal cancer