GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements

Research article (Information, 2023) · cited 12× · AI/ML
Press Enter · cited answer in seconds

GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements

Summary

GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements is a scholarly article[1].

Key Facts

  • GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements. Retrieved May 24, 2026, from https://4ort.xyz/entity/gsceu-net-an-end-to-end-lightweight-skin-lesion-segmentation-model-with-feature-fusion-based-on-u-net-enhancements
MLA “GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gsceu-net-an-end-to-end-lightweight-skin-lesion-segmentation-model-with-feature-fusion-based-on-u-net-enhancements.
BibTeX @misc{4ortxyz_gsceu-net-an-end-to-end-lightweight-skin-lesion-segmentation-model-with-feature-fusion-based-on-u-net-enhancements_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements}}, year = {2026}, url = {https://4ort.xyz/entity/gsceu-net-an-end-to-end-lightweight-skin-lesion-segmentation-model-with-feature-fusion-based-on-u-net-enhancements}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements — https://4ort.xyz/entity/gsceu-net-an-end-to-end-lightweight-skin-lesion-segmentation-model-with-feature-fusion-based-on-u-net-enhancements (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/gsceu-net-an-end-to-end-lightweight-skin-lesion-segmentation-model-with-feature-fusion-based-on-u-net-enhancements · Last refreshed: