Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture

Research article (Multimedia Tools and Applications, 2024) · cited 18× · AI/ML
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Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture

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Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture is a scholarly article[1].

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  • Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-skin-lesion-segmentation-using-attention-residual-u-net-with-improved-encoder-decoder-architecture
MLA “Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-skin-lesion-segmentation-using-attention-residual-u-net-with-improved-encoder-decoder-architecture.
BibTeX @misc{4ortxyz_automatic-skin-lesion-segmentation-using-attention-residual-u-net-with-improved-encoder-decoder-architecture_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-skin-lesion-segmentation-using-attention-residual-u-net-with-improved-encoder-decoder-architecture}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture — https://4ort.xyz/entity/automatic-skin-lesion-segmentation-using-attention-residual-u-net-with-improved-encoder-decoder-architecture (retrieved 2026-05-24)

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