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

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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Bibliographic Details
Main Authors: Vu, Manh Hung, Tran, Ngoc Du, Le, Hoang Minh Quang, Tran, Thi Thao, Pham, Van Truong
Format: Bài viết
Language:English
Published: Springer Nature 2024
Subjects:
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 Access:https://elib.vku.udn.vn/handle/123456789/4296
https://doi.org/10.1007/978-3-031-74127-2_33
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Institutions: Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

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