MSDEnet: Multi-scale detail enhanced network based on human visual system for medical image segmentation
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Ma, Yuangang, Xu, Hong ORCID: 0000-0002-2968-9804, Feng, Yue, Lin, Zhuosheng, Li, Fufeng, Wu, Xin, Liu, Qichao and Zhang, Shuangsheng (2024) MSDEnet: Multi-scale detail enhanced network based on human visual system for medical image segmentation. Computers in Biology and Medicine, 170. ISSN 0010-4825
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/48314 |
DOI | 10.1016/j.compbiomed.2024.108010 |
Official URL | https://www.sciencedirect.com/science/article/pii/... |
Subjects | Current > FOR (2020) Classification > 4003 Biomedical engineering Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | medical image segmentation; convolutional neural network; multi-scale structure; redundant information |
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