lok-18/GeSeNet
IEEE TNNLS | GeSeNet: A General Semantic-guided Network with Couple Mask Ensemble for Medical Image Fusion
This tool helps medical professionals, researchers, or imaging specialists combine information from different medical scans, like MRI, CT, PET, or SPECT images. You input multiple raw medical images of the same area from different modalities, and it outputs a single, clearer fused image that integrates the details from each original scan. This is useful for improving diagnostic accuracy and detailed analysis.
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Use this if you need to merge details from various medical imaging scans into one comprehensive image for better visual analysis and diagnosis.
Not ideal if you are looking to analyze a single medical image or require advanced image segmentation and classification, rather than fusion.
Stars
21
Forks
4
Language
Python
License
MIT
Category
Last pushed
Aug 09, 2023
Commits (30d)
0
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