An overview of multi-modal medical image fusion
By Jiao Du, Weisheng Li, Ke Lu, Bin Xiao. Neurocomputing, 2016
324 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/533d199b0fc5e44e3c4705f1fc7ff9bf5dc168cd
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In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain (2019, background): “An effective way to solve this problem is known as medical image fusion technique [1], [2], which aims at generating a composite image to integrate the complementary information contained in multiple medical images with different modalities.”
- Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation (2020, unknown): “Objective QA should be consistent with subjective QA, and often relies on statistical properties of the images, or even stochastic modeling of the Human Visual System (HVS) [279] .”