Research status and trends of deep learning in colorectal cancer (2011-2023): Bibliometric analysis and visualization.

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Bibliographic Details
Title: Research status and trends of deep learning in colorectal cancer (2011-2023): Bibliometric analysis and visualization.
Authors: Qi LY; Department of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou 313000, Zhejiang Province, China., Li BW; Center of Gastrointestinal Endoscopy, The Fourth People's Hospital of Jinan, Jinan 250031, Shandong Province, China., Chen JQ; Department of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou 313000, Zhejiang Province, China., Bian HP; Department of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou 313000, Zhejiang Province, China., Xue JN; Department of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou 313000, Zhejiang Province, China., Zhao HX; Department of Radiology, The First Affiliated Hospital of Huzhou University, Huzhou Key Laboratory of Precise Diagnosis and Treatment of Urinary Tumors, Huzhou 313000, Zhejiang Province, China. 50073@zjhu.edu.cn.
Source: World journal of gastrointestinal oncology [World J Gastrointest Oncol] 2025 May 15; Vol. 17 (5), pp. 103667.
Publication Type: Journal Article
Journal Info: Publisher: Baishideng Publishing Group Country of Publication: China NLM ID: 101532470 Publication Model: Print Cited Medium: Print ISSN: 1948-5204 (Print) NLM ISO Abbreviation: World J Gastrointest Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1948-5204
DOI:10.4251/wjgo.v17.i5.103667