Evidence map›Paper›PMID 42739183›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Toward AI-Assisted Precision Diagnostics in Breast Cancer: Source-Group-Preserving Evaluation of Class-Imbalance Strategies for Ordered ER-IHC Segmentation.

Md Saiful Arefin, Mohammad Saiful Islam, Md Serajun Nabi, Rashadul Islam Sumon, Maria Lapina, Vitalii Lapin, Mohammed Muthanna

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Md Saiful ArefinSchool of Computer Science and Informatics, Department of Computer Science, Albukhary International University, Alor Setar 05200, Kedah, Malaysia.ORCID 0009-0002-6112-7673
Mohammad Saiful IslamSchool of Computer Science and Informatics, Department of Computer Science, Albukhary International University, Alor Setar 05200, Kedah, Malaysia.ORCID 0009-0009-1405-2892
Md Serajun NabiFaculty of Artificial Intelligence and Engineering, Multimedia University, Cyberjaya 63100, Selangor, Malaysia.
Rashadul Islam SumonDepartment of Digital Anti-Aging Healthcare, Inje University, Gimhae 50834, Republic of Korea.ORCID 0000-0003-3610-2562
Maria LapinaTrusted AI Research Center, Ivannikov Institute for System Programming of the Russian Academy of Sciences, 109004 Moscow, Russia.ORCID 0000-0001-8117-9142
Vitalii LapinDepartment of Computational Mathematics and Cybernetics, North-Caucasus Federal University, 355017 Stavropol, Russia.ORCID 0000-0002-0611-7002
Mohammed MuthannaFaculty of Computing and IT, Sohar University, Sohar 311, Oman.ORCID 0000-0002-1165-7812

Funding

This work was supported by a grant, provided by the Ministry of Economic Development of the Russian Federation (agreement dated June 20, 2025 No. 139-15-2025-011, identifier 000000C313925P4G0002) 000000C313925P4G0002
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

adaptive minority curriculumclass imbalancecomputational pathologyER-IHCFocal–Tversky lossnested cross-validationsemantic segmentation

Identifiers

PMID42739183
PMCPMC13565420

What OpenQuestion holds

Textmetadata
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.