Evidence map›Paper›PMID 40775217›Full record

ArticleScientific data2025

CAS-Colon: A Comprehensive Colonoscopy Anatomical Segmentation Dataset for Artificial Intelligence Development.

Yiming Song, Zhengjie Zhang, Ruilan Wang, Ling Zhong, Crystal Cai, Jinnan Chen, Yujie Zhou, Xinyuan Wang, Zhao Li, Liuyi Yang and 5 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Yiming Song *Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhengjie Zhang *School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Ruilan Wang *Department of Gastroenterology, Armed Police Forces Hospital of Sichuan, Leshan, Sichuan Province, China.
Ling ZhongDepartment of Gastroenterology, Liangping District People's Hospital, Chongqing, China.
Crystal CaiSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Jinnan ChenDivision of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yujie ZhouDivision of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xinyuan WangDivision of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhao LiDivision of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Liuyi YangDivision of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zeyu LiDivision of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hao YanThe Second Clinical Medical College, Harbin Medical University, Harbin, 150081, China.
Qingwei ZhangDivision of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. zhangqingweif@hotmail.com.
Dahong QianSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. dahong.qian@sjtu.edu.cn.
Xiaobo LiDivision of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease, NHC Key Laboratory of Digestive Diseases, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. lxb_1969@163.com.

Funding

Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 23Y11905300
6 · The paper itself

Abstract

Artificial intelligence (AI) holds immense potential to transform gastrointestinal endoscopy by reducing manual workload and enhancing procedural efficiency. However, the development of robust AI algorithms is hindered by limited access to high-quality medical datasets and the labor-intensive nature of data annotation. Here, we present CAS-Colon, a novel dataset comprising 78 high-resolution colonoscopy videos captured during the withdrawal phase. Each video is meticulously annotated with ten distinct anatomical regions and accompanied by comprehensive metadata. To our knowledge, CAS-Colon represents the largest and most detailed colonoscopy anatomical segmentation dataset available. This resource aims to accelerate the development of advanced AI algorithms and unlock the full potential of colonoscopy technology.

Indexed as

Artificial IntelligenceColonColonoscopyAlgorithmsHumansVideo Recording

Identifiers

PMID40775217
PMCPMC12331960

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.