[SG-UNet: a melanoma segmentation model enhanced with global attention and self-calibrated convolution].

The proposed model is capable of effective and accurate segmentation of melanoma from dermoscopy images.

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Publication Details

Journal
PubMed
Published
2025-06-20
DOI
https://doi.org/10.12122/j.issn.1673-4254.2025.06.21
Primary Topic
Infrared Thermography in Medicine
Type
article
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article

[SG-UNet: a melanoma segmentation model enhanced with global attention and self-calibrated convolution].

Shengxiang Gao, Rui Wang, Wen-Gang Che, Hyun Woo Ji
PubMed
Infrared Thermography in Medicine
article

[SG-UNet: a melanoma segmentation model enhanced with global attention and self-calibrated convolution].

Shengxiang Gao, Rui Wang, Wen-Gang Che, Hyun Woo Ji
article en

Abstract

The proposed model is capable of effective and accurate segmentation of melanoma from dermoscopy images.

PubMedVol. 45(6)
Kunming University of Science and Technology (CN)
Infrared Thermography in Medicine
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[SG-UNet: a melanoma segmentation model enhanced with global attention and self-calibrated convolution]. — Shengxiang Gao, Rui Wang, et al. · PubMed (2025) | TGRS Research Map | TGRS