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MLME -Net: A high-accuracy model for surgical instrument detection via multi-level MixEnhance network

Digital Signal Processing(2026)10.1016/j.dsp.2025.105857Source: DataRank Database

MLME -Net: A high-accuracy model for surgical instrument detection via multi-level MixEnhance network is a research paper published in Digital Signal Processing (2026). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: closedTopics (11)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Shuwan Pan ORCID,Qin Ye ORCID,Yuanda Lin ORCID,Lixin Zheng ORCID,Haikun Chen ORCID

Live enrichment

PubMed:26207759 OpenAlex:https://openalex.org/W7118088648

Fundamental Research Funds for the Central Universities

Grant: ZQN-1121

FWCI

0.00

Citation Percentile

0.0%

closedLicense: https://doi.org/10.15223/policy-004

publisherhttps://api.elsevier.com/content/article/PII:S1051200425008735?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1051200425008735?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.dsp.2025.105857

Fields of Study

Surgical Simulation and TrainingSoft Robotics and ApplicationsAdvanced Neural Network Applications

Keywords

Discriminative modelFeature (linguistics)Surgical instrumentBlock (permutation group theory)Component (thermodynamics)Tracking (education)Identification (biology)Gating

Sustainable Development Goals

SDG 0: Reduced inequalities

MLME -Net: A high-accuracy model for surgical instrument detection via multi-level MixEnhance network

FAIR Checklist

Authors (5)

Funding (1 grants)

Impact

Open Access

Topics