Evidence map›Paper›PMID 42506858›Full record

ArticleTomography (Ann Arbor, Mich.)2026

An Efficient Cross-Modal Interaction and Dynamic Fusion Network for Multimodal Breast Ultrasound Diagnosis.

Xiangqiong Wu, Yin Lan, Lina Han, Peng Wang

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 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

4 authors.

Xiangqiong WuSchool of Computer Science, Hunan First Normal University, Changsha 410205, China.ORCID 0000-0001-7577-0534
Yin LanSchool of Electronic Information, Hunan First Normal University, Changsha 410205, China.ORCID 0009-0003-9457-7387
Lina HanSchool of Electronic Information, Hunan First Normal University, Changsha 410205, China.ORCID 0009-0002-9794-4886
Peng WangSchool of Electronic Information, Hunan First Normal University, Changsha 410205, China.

Funding

National Natural Science Foundation of China 62402175National Natural Science Foundation of China 62573187Natural Science Foundation of Hunan Province 2024JJ6176
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Breast NeoplasmsImage Interpretation, Computer-AssistedMultimodal ImagingUltrasonography, MammaryElasticity Imaging TechniquesFemaleHumansNeural Networks, ComputerReproducibility of Resultsbreast ultrasoundcross-modal attentiondynamic fusionfeature enhancement

Identifiers

PMID42506858
PMCPMC13419090

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.