Evidence map›Paper›PMID 42293451›Full record

ArticleData in brief2026

A comprehensive raw dataset of Ziehl-Neelsen-stained sputum smear microscopy images for

Heny Yuniarti, Chastine Fatichah, Riyanto Sigit, Samsul Arifin, Edio da Costa

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Heny YuniartiDepartment of Informatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
Chastine FatichahDepartment of Informatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
Riyanto SigitDepartment of Computer Engineering, Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia.
Samsul ArifinDepartment of Informatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
Edio da CostaDepartment of Computer Science, Dili Institute of Technology, Dili, Timor Leste.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This data article presents a comprehensive dataset of 1,438 sputum smear microscopy images containing 11,447 ground-truth bounding-box labels for the detection of

Indexed as

Medical image datasetMycobacterium tuberculosisObject detectionSputum smear microscopySustainable Development Goal 3

Identifiers

PMID42293451
PMCPMC13264134

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.