Medical Image Segmentation via Sparse Coding Decoder

Transformers have achieved significant success in medical image segmentation, owing to their capability to capture long-range dependencies. Previous studies have employed either pure Transformer or hybrid CNN-Transformer architectures in the encoder module to enhance their ability to extract more co...

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Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 1 - 5
Hauptverfasser:	Zeng, Long, Zhu, Mingwei, Wu, Kaigui, Li, Zefang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 06.04.2025
Schlagworte:	Biomedical imaging Convolution Convolutional codes Decoding Feature extraction Image coding Image segmentation Medical image segmentation Noise Sparse Coding Transformer Transformers Vectors
ISSN:	2379-190X
Online-Zugang:	Volltext
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