Evidence map›Paper›PMID 41362340›Full record

ArticleData in brief2025

CPSMI2025: A curated dataset of conventional Pap smear microscopy images for deep learning-based cervical cancer screening.

José Ocampo-López-Escalera, Martha Rosete-Aguilar, Héctor Ochoa-Díaz-López, Xariss M Sánchez-Chino, César A Irecta-Nájera, F Guillermo Domínguez-Gómez, Saúl D Tobar-Alas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2025. 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. Review
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

7 authors.

José Ocampo-López-EscaleraDepartamento de Salud, El Colegio de la Frontera Sur, Carretera Panamericana y Periférico Sur S/N, Barrio de María Auxiliadora, C.P. 29290, San Cristóbal de las Casas, Chiapas, Mexico.
Martha Rosete-AguilarInstituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México, Circuito Exterior S/N, Cd. Universitaria, C.P. 04520, México City, Mexico.
Héctor Ochoa-Díaz-LópezDepartamento de Salud, El Colegio de la Frontera Sur, Carretera Panamericana y Periférico Sur S/N, Barrio de María Auxiliadora, C.P. 29290, San Cristóbal de las Casas, Chiapas, Mexico.
Xariss M Sánchez-ChinoSECIHTI-Departamento de Salud, El Colegio de la Frontera Sur, Carretera a Reforma Km 15.5 S/N, Ra El Guineo2ª Sección, C.P. 86280, Villahermosa, Tabasco, Mexico.
César A Irecta-NájeraDepartamento de Salud, El Colegio de la Frontera Sur, Carretera a Reforma Km 15.5 S/N, Ra El Guineo2ª Sección, C.P. 86280, Villahermosa, Tabasco, Mexico.
F Guillermo Domínguez-GómezHospital General de Zona No 2, Instituto Mexicano del Seguro Social, 11 Oriente Norte S/N, Hidalgo, C.P. 29043, Tuxtla Gutiérrez, Chiapas, Mexico.
Saúl D Tobar-AlasHospital General de Zona No 2, Instituto Mexicano del Seguro Social, 11 Oriente Norte S/N, Hidalgo, C.P. 29043, Tuxtla Gutiérrez, Chiapas, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer remains one of the most common and deathly cancers in low-resource regions, where conventional Pap smear screening - though affordable - faces diagnostic bottlenecks due to limited specialist availability. To support the development of automated screening tools, we present CPSMI2025: a curated dataset of 2169 high-resolution Pap smear microscopy images representing nine clinically relevant cytology categories, derived from >350 manually screened slides obtained from Hospital General de Zona No 2 (IMSS) and a private pathology practice in Tuxtla Gutiérrez, Chiapas, Mexico. All slides were pre-classified by both a pathologist and cytotechnologist. Images were captured using a replicable open-source low-cost microscopy platform.

Indexed as

AI in cervical screeningCervical cytology automationChiapas MexicoPapanicolaou testPoint-of-care diagnostics

Identifiers

PMID41362340
PMCPMC12681918

What OpenQuestion holds

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Registered trials

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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.