深度学习在癌症诊断中的作用。

IF 1.7 Q3 GASTROENTEROLOGY & HEPATOLOGY

Przegla̜d Gastroenterologiczny Pub Date : 2023-01-01 Epub Date: 2023-07-17 DOI:10.5114/pg.2023.129494

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

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引用次数: 4

摘要

癌症是一个重大的公共卫生问题，影响着全世界越来越多的人。正确和早期诊断结肠癌是有效治疗和/或预防未来疾病复发的必要第一步。人工智能及其亚型，尤其是深度学习，如今在医学的各个领域都发挥着越来越大的作用，诊断结肠癌癌症也不例外。本报告旨在总结深度学习在癌症所有诊断测试中的整个应用范围，从内窥镜检查和组织学检查到医学成像和血清学筛查。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The role of deep learning in diagnosing colorectal cancer.

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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来源期刊

Przegla̜d Gastroenterologiczny GASTROENTEROLOGY & HEPATOLOGY-

CiteScore

2.20

自引率

7.70%

发文量

审稿时长

6-12 weeks

期刊介绍： Gastroenterology Review is a journal published each 2 months, aimed at gastroenterologists and general practitioners. Published under the patronage of Consultant in Gastroenterology and Polish Pancreatic Club.