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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書目詳細資料
Những tác giả chính:	Vu, Manh Hung, Tran, Ngoc Du, Le, Hoang Minh Quang, Tran, Thi Thao, Pham, Van Truong
格式:	Bài viết
語言:	English
出版:	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
在線閱讀:	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

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