Evidence map›Paper›PMID 38406254›Full record

ArticleData in brief2024

CAISHI: A benchmark histopathological H&E image dataset for cervical adenocarcinoma

Xinyi Yang, Chen Li, Ruilin He, Jinzhu Yang, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Xiaohan Li, Chang Liu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Content-Based Histopathological Image Retrieval.Sensors (Basel, Switzerland) · 2025
    Article
  4. Article
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

9 authors at 4 institutions in 3 countries.

Xinyi YangMicroscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning 110167, China.
Chen LiMicroscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning 110167, China.
Ruilin HeMicroscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning 110167, China.
Jinzhu YangKey Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, Liaoning 110167, China.
Hongzan SunShengjing Hospital of China Medical University, Shenyang, Liaoning 110001, China.
Tao JiangSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China.
Marcin GrzegorzekInstitute for Medical Informatics, University of Luebeck Ratzeburger Allee, Luebeck 160 23538, Federal Repulic of Germany.
Xiaohan LiShengjing Hospital of China Medical University, Shenyang, Liaoning 110001, China.
Chang LiuShengjing Hospital of China Medical University, Shenyang, Liaoning 110001, China.
Northeastern University · CNChina Medical University · CNChengdu University of Information Technology · CNUniversity of Economics in Katowice · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A benchmark histopathological Hematoxylin and Eosin (H&E) image dataset for Cervical Adenocarcinoma

Indexed as

Cervical cancerComputer visionDeep learningImage classificationMachine learning

Identifiers

PMID38406254
PMCPMC10885606
OpenAlexW4391690902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.