Vision Transformers for Low-Quality Histopathological Images: A Case Study on Squamous Cell Carcinoma Margin Classification.

So-Yun Park, Gelan Ayana, Beshatu Debela Wako, Kwangcheol Casey Jeong, Soon-Do Yoon, Se-Woon Choe

Abstract read

In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. 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

–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

4 citing papers in PubMed.

Artificial Intelligence in Dermatopathology: An Update and Review of the Current Literature.Diagnostics (Basel, Switzerland) · 2026
Review
Explainability and Trust in Deep Learning for Cancer Imaging: Systematic Barriers, Clinical Misalignment, and a Translational Roadmap.Cancers · 2026
Review
Deep Learning Image Processing Models in Dermatopathology.Diagnostics (Basel, Switzerland) · 2025
Review
Liver biopsy in the modern era: from traditional techniques to artificial intelligence and multi-omics integration.Frontiers in medicine · 2025
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

6 authors.

So-Yun ParkDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.ORCID 0009-0001-4411-1277

Gelan AyanaDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.ORCID 0000-0002-5219-6098

Beshatu Debela WakoCenter of Biomedical Engineering, Jimma University Medical Center, Jimma 378, Ethiopia.ORCID 0000-0003-2449-8491

Kwangcheol Casey JeongDepartment of Animal Sciences, University of Florida, Gainesville, FL 32610, USA.

Soon-Do YoonEmerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA.

Se-Woon ChoeDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.ORCID 0000-0002-7298-4147

Funding

National Research Foundation of Korea RS-2023-00240521

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

classificationhistopathology imagesquamous cell carcinomavision transformer

Identifiers

PMID39941191

DOI10.3390/diagnostics15030260

PMCPMC11817517

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.