This repository is the official implementation of CMFS, a unified framework that leverages CLIP-guided modality interaction to mitigate noise in multi-modal image fusion and segmentation.
⚠️ Disclaimer: This is an experimental project for educational and research purposes. The author assumes no responsibility for misuse or damage resulting from the use of this system. Use responsibly ...
1 Department of Computer Science and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Magnetic Resonance ...
Department of Physics, National Dong Hwa University, Shoufeng, Hualien 97401, Taiwan Department of Nuclear Physics, University of Science, Vietnam National University − Ho Chi Minh City, Ho Chi Minh ...
School of Petroleum Engineering, Yangtze University, Wuhan, Hubei 430100, China Hubei Provincial Key Laboratory of Oil and Gas Drilling and Production Engineering (Yangtze University), Wuhan, Hubei ...
Abstract: As with any physical instrument, hyperspectral cameras induce different kinds of noise in the acquired data. Therefore, Hyperspectral denoising is a crucial step for analyzing hyperspectral ...
Sea cucumber farming is an important part of China's aquaculture industry, and sea cucumbers have higher requirements for aquaculture water quality. This article proposes a sea cucumber aquaculture ...
To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D ...
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