MCST-Net: A Multi-Cross-Spatial Attention U-Net with Transformer Block for Skin Lesion Segmentation

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MCST-Net: A Multi-Cross-Spatial Attention U-Net with Transformer Block for Skin Lesion Segmentation

Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 397-408.

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書誌詳細
主要な著者:	Vu, Manh Hung, Tran, Ngoc Du, Le, Hoang Minh Quang, Tran, Thi Thao, Pham, Van Truong
フォーマット:	Bài viết
言語:	English
出版事項:	Springer Nature 2024
主題:	MCST-Net: A Multi-Cross-Spatial Attention U-Net with Transformer Block for Skin Lesion Segmentation The transformer block that is widely used in natural language processing (NLP) is incorporated into the model, which helps to improve performance with processing the highest features
オンライン･アクセス:	https://elib.vku.udn.vn/handle/123456789/4296 https://doi.org/10.1007/978-3-031-74127-2_33
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Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

その他の書誌記述
要約:	Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 397-408.