[An efficient and lightweight skin pathology detection method based on multi-scale feature fusion using an improved RT-DETR model].

The proposed SD-DETR model significantly improves the performance of skin disease detection tasks by effectively extracting and integrating multi-scale features while reducing both parameter count and computational load.

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Publication Details

Journal
PubMed
Published
2025-02-20
DOI
https://doi.org/10.12122/j.issn.1673-4254.2025.02.22
Primary Topic
E-commerce and Technology Innovations
Type
article
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article

[An efficient and lightweight skin pathology detection method based on multi-scale feature fusion using an improved RT-DETR model].

Xinbo Yao, Yuying Ren, Lingxiao Huang, Fang Du
PubMed
E-commerce and Technology Innovations
article

[An efficient and lightweight skin pathology detection method based on multi-scale feature fusion using an improved RT-DETR model].

Xinbo Yao, Yuying Ren, Lingxiao Huang, Fang Du
article en

Abstract

The proposed SD-DETR model significantly improves the performance of skin disease detection tasks by effectively extracting and integrating multi-scale features while reducing both parameter count and computational load.

PubMedVol. 45(2)
Ningxia University (CN)
E-commerce and Technology Innovations
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[An efficient and lightweight skin pathology detection method based on multi-scale feature fusion using an improved RT-DETR model]. — Xinbo Yao, Yuying Ren, et al. · PubMed (2025) | TGRS Research Map | TGRS