MCGFF-Net: a multi-scale context-aware and global feature fusion network for enhanced polyp and skin lesion segmentation

Yanxiang Li; Wenzhe Meng; Dehua Ma; Siping Xu; Xiaoliang Zhu

doi:10.1007/s00371-024-03720-9

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MCGFF-Net: a multi-scale context-aware and global feature fusion network for enhanced polyp and skin lesion segmentation

Yanxiang Li Wenzhe Meng Dehua Ma Siping Xu Xiaoliang Zhu

Year: 2024 Journal: The Visual Computer Vol: 41 (8)Pages: 5267-5282 Publisher: Springer Science+Business Media

DOI: 10.1007/s00371-024-03720-9

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Keywords:

Segmentation Context (archaeology) Computer science Artificial intelligence Feature (linguistics) Scale (ratio) Pattern recognition (psychology) Computer graphics Lesion Net (polyhedron) Computer vision Graphics Medicine Computer graphics (images) Cartography Mathematics Pathology Geography

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Cutaneous Melanoma Detection and Management

Health Sciences → Medicine → Oncology

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Nonmelanoma Skin Cancer Studies

Health Sciences → Medicine → Epidemiology

MCGFF-Net: a multi-scale context-aware and global feature fusion network for enhanced polyp and skin lesion segmentation

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Citation History

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