Evidence map›Paper›PMID 40722557›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Exploration of 3D Few-Shot Learning Techniques for Classification of Knee Joint Injuries on MR Images.

Vinh Hiep Dang, Minh Tri Nguyen, Ngoc Hoang Le, Thuan Phat Nguyen, Quoc-Viet Tran, Tan Ha Mai, Vu Pham Thao Vy, Truong Nguyen Khanh Hung, Ching-Yu Lee, Ching-Li Tseng and 2 more

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. 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

12 authors.

Vinh Hiep DangDepartment of Radiology, Pham Ngoc Thach University of Medicine, Ho Chi Minh City 740500, Vietnam.
Minh Tri NguyenGraduate Institute of Data Science, College of Management, Taipei Medical University, New Taipei City 23561, Taiwan.
Ngoc Hoang LeGraduate Institute of Biomedical Materials and Tissue Engineering, College of Biomedical Engineering, Taipei Medical University, New Taipei City 23561, Taiwan.ORCID 0000-0003-4778-3527
Thuan Phat NguyenGraduate Institute of Data Science, College of Management, Taipei Medical University, New Taipei City 23561, Taiwan.
Quoc-Viet TranResearch Center of Data Science on Healthcare Industry, College of Management, Taipei Medical University, New Taipei City 23561, Taiwan.ORCID 0000-0002-5074-0635
Tan Ha MaiDepartment of Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan.
Vu Pham Thao VyInternational Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan.ORCID 0000-0002-1832-7998
Truong Nguyen Khanh HungDepartment of Orthopedic and Trauma, Cho Ray Hospital, Ho Chi Minh City 700000, Vietnam.ORCID 0000-0002-6244-0883
Ching-Yu LeeDepartment of Orthopedics, Taipei Medical University Hospital, Taipei 110301, Taiwan.
Ching-Li TsengGraduate Institute of Biomedical Materials and Tissue Engineering, College of Biomedical Engineering, Taipei Medical University, New Taipei City 23561, Taiwan.ORCID 0000-0001-9446-4030
Nguyen Quoc Khanh LeIn-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei 110301, Taiwan.ORCID 0000-0003-4896-7926
Phung-Anh NguyenGraduate Institute of Data Science, College of Management, Taipei Medical University, New Taipei City 23561, Taiwan.

Funding

Taipei Medical University TMU113-AE1-B06
6 · The paper itself

Abstract

Accurate diagnosis of knee joint injuries from magnetic resonance (MR) images is critical for patient care.

Indexed as

deep learning (DL)few-shot learningGeneralized End-to-End (GE2E) lossknee injuriesMR images

Identifiers

PMID40722557
PMCPMC12293373

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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.