CTH-Net: A CNN and Transformer hybrid network for skin lesion segmentation

CTH-Net: A CNN and Transformer hybrid network for skin lesion segmentation

Summary: Automatically and accurately segmenting skin lesions can be challenging, due to factors such as low contrast and fuzzy boundaries. This paper proposes a hybrid encoder-decoder model (CTH-Net) based on convolutional neural network (CNN) and Transformer, capitalizing on the advantages of thes...

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Bibliographic Details
Main Authors: Yuhan Ding, Zhenglin Yi, Jiatong Xiao, Minghui Hu, Yu Guo, Zhifang Liao, Yongjie Wang
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:iScience
Subjects:
Health sciences
Artificial intelligence
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224006631

Internet

http://www.sciencedirect.com/science/article/pii/S2589004224006631

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