The role of deep learning in diagnosing colorectal cancer

被引：41
|
作者：
Bousis, Dimitrios [1 ]
Verras, Georgios-Ioannis [2 ]
Bouchagier, Konstantinos [2 ]
Antzoulas, Andreas [2 ]
Panagiotopoulos, Ioannis [3 ]
Katinioti, Anastasia [4 ]
Kehagias, Dimitrios [2 ]
Kaplanis, Charalampos [2 ]
Kotis, Konstantinos [5 ]
Anagnostopoulos, Christos-Nikolaos [5 ]
Mulita, Francesk [2 ]
机构：
[1] Gen Univ Hosp Patras, Dept Internal Med, Patras, Greece
[2] Gen Univ Hosp Patras, Dept Surg, Patras, Greece
[3] Gen Univ Hosp Patras, Dept Cardiothorac Surg, Patras, Greece
[4] Elpis Gen Hosp, Dept Cardiol, Athens, Greece
[5] Univ Aegean, Dept Cultural Technol & Commun, Intelligent Syst Lab, Mitilini, Greece
来源：
GASTROENTEROLOGY REVIEW-PRZEGLAD GASTROENTEROLOGICZNY | 2023年 / 18卷 / 03期
关键词：
medical imaging; deep learning; endoscopy; artificial intelligence; histologic examination; colorectal cancer; COLON-CANCER; ARTIFICIAL-INTELLIGENCE; CLINICAL PRESENTATION; CLASSIFICATION; COLONOSCOPY; PATHOPHYSIOLOGY; PREDICTION; NUCLEI;
D O I：
10.5114/pg.2023.129494
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
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.
引用
收藏
页码：266 / 273
页数：8
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