This review provides an extensive analysis of medical image fusion algorithms, categorized into four main groups: morphological methods, human value system operator-based approaches, sub-band decomposition, and neural network-based methods. The review also covers a comparative analysis of these strategies and their efficiency in brain tumor detection.
This article further examines medical imaging modalities, and related databases along with statistical outcomes. It includes a detailed discussion on imaging techniques, such as radiation-based methods, visible light microscopy, and multi-modal medical imaging.
Key words: Image fusion, multi-modality, neural networks, fuzzy logic, brain tumor. segmentation.
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