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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Bibliografski detalji
Glavni autori:	Vu, Manh Hung, Tran, Ngoc Du, Le, Hoang Minh Quang, Tran, Thi Thao, Pham, Van Truong
Format:	Bài viết
Jezik:	English
Izdano:	Springer Nature 2024
Teme:	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
Online pristup:	https://elib.vku.udn.vn/handle/123456789/4296 https://doi.org/10.1007/978-3-031-74127-2_33
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

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