simonZhou86/dilran
An attention-based Multi-Scale Feature Learning Framework for Multimodal Medical Image Fusion
This helps radiologists and medical imaging specialists combine information from different types of medical scans, like MRI, CT, PET, and SPECT. It takes two or more separate medical images as input and produces a single, enhanced image that clearly shows features from all original scans. The result is a richer view for diagnosis or treatment planning.
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Use this if you need to merge details from multiple medical imaging modalities into one comprehensive image for better visual analysis.
Not ideal if you are working with non-medical images or only need to process single-modality medical images.
Stars
37
Forks
5
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 18, 2025
Commits (30d)
0
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