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Chenglin Fang

1 paper here

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • eess.IV1

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most citedKANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2024★ 2 cited

KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation

Chenglin Fang, Kaigui Wu

The U-Net model has consistently demonstrated strong performance in the field of medical image segmentation, with various improvements and enhancements made since its introduction.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.