Sub-pixel multi-scale fusion network for medical image segmentation

CNNs and Transformers have significantly advanced the domain of medical image segmentation. The integration of their strengths facilitates rich feature extraction but also introduces the challenge of mixed multi-scale feature fusion. To overcome this issue, we propose an innovative deep medical imag...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 83; no. 41; pp. 89355 - 89373
Main Authors:	Li, Jing, Chen, Qiaohong, Fang, Xian
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.12.2024 Springer Nature B.V
Subjects:	1237: Advanced Deep Learning for Computer Vision and Multimedia Applications Accuracy Artificial neural networks Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Datasets Effectiveness Feature extraction Image segmentation Medical imaging Medical research Modules Multimedia Multimedia Information Systems Optimization techniques Pixels Semantics Special Purpose and Application-Based Systems Adaptive gate CNN Multi-scale fusion Transformer Sub-pixel feature Medical image segmentation
ISSN:	1573-7721, 1380-7501, 1573-7721
Online Access:	Get full text
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