Evidence map›Paper›PMID 39728907›Full record

ArticleTomography (Ann Arbor, Mich.)2024

CNN-Based Cross-Modality Fusion for Enhanced Breast Cancer Detection Using Mammography and Ultrasound.

Yi-Ming Wang, Chi-Yuan Wang, Kuo-Ying Liu, Yung-Hui Huang, Tai-Been Chen, Kon-Ning Chiu, Chih-Yu Liang, Nan-Han Lu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2024. 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.

  1. Article
  2. Review
  3. Article
  4. 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

8 authors.

Yi-Ming WangDepartment of Critical Care Medicine, E-DA Hospital, I-Shou University, Kaohsiung City 824005, Taiwan.
Chi-Yuan WangDepartment of Medical Imaging and Radiological Science, I-Shou University, Kaohsiung City 824005, Taiwan.ORCID 0000-0001-6937-5140
Kuo-Ying LiuDepartment of Radiology, E-DA Cancer Hospital, I-Shou University, Kaohsiung City 824005, Taiwan.ORCID 0000-0002-4661-0248
Yung-Hui HuangDepartment of Medical Imaging and Radiological Science, I-Shou University, Kaohsiung City 824005, Taiwan.ORCID 0000-0003-3808-9998
Tai-Been ChenDepartment of Radiological Technology, Faculty of Medical Technology, Teikyo University, Tokyo 173-8605, Japan.ORCID 0000-0002-3348-4422
Kon-Ning ChiuDepartment of Business Management, National Sun Yat-sen University, Kaohsiung City 804201, Taiwan.ORCID 0000-0002-7289-8599
Chih-Yu LiangDepartment of Emergency Medicine, E-DA Hospital, I-Shou University, Kaohsiung City 824005, Taiwan.
Nan-Han LuDepartment of Medical Imaging and Radiological Science, I-Shou University, Kaohsiung City 824005, Taiwan.ORCID 0009-0002-1881-3504

Funding

E-DA Cancer Hospital, Taiwan No. EDCHP113010National Science and Technology Council, Taiwan NSTC113-2221-E-214-007
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Breast NeoplasmsMammographyNeural Networks, ComputerUltrasonography, MammaryBreastEarly Detection of CancerFemaleHumansMachine LearningMultimodal Imagingartificial intelligencebreast cancerconvolutional neural networksdeep learning algorithms

Identifiers

PMID39728907
PMCPMC11679931

What OpenQuestion holds

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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.