The Role of Spatial Alignment in Multimodal Medical Image Fusion Using Deep Learning for Diagnostic Problems-Reference-Cited by-同舟云学术

The Role of Spatial Alignment in Multimodal Medical Image Fusion Using Deep Learning for Diagnostic Problems

Published:2021-08-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Intelligent Medicine and Health
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Author:

Wang Xingyue¹,Shu Kuang¹,Kuang Haowei¹,Luo Shiwei¹,Jin Richu¹,Liu Jiang²

Affiliation:

1. Department of Computer Science and Engineering, Southern University of Science and Technology, China

2. Department of Computer Science and Engineering, Southern University of Science and Technology, China and Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences, China

Funder

Shenzhen Natural Science Fund

Guangdong Provincial Key Laboratory

China Postdoctoral Science Foundation

Guangdong Provincial Department of Education

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3484377.3484384

Reference18 articles.

1. Multimodal Medical Image Fusion Based on Fuzzy Discrimination With Structural Patch Decomposition

2. A Comparison of Various Fusion Methods for CT and MR Liver Images

3. Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages

4. Multi-Modality Sparse Representation for Alzheimer’s Disease Classification

5. Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval

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