Hybrid Imaging Technologies for Early and Accurate Disease Detection
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The main objective of Hybrid Multimodal Medical Image Fusion (HMMIF) technique is to preserve salient image features and detailed information of multiple source images to produce a visual enhanced single fused image. Several multimodal medical image hybrid fusion techniques have been developed for pathological studies such as neurocysticercosis, degenerative and neoplastic diseases. In literature, the commonly reported medical image fusion modalities are CT, MRI, SPECT and PET. Each modality has unique features in clinical diagnosis; at the same time, these modalities have challenges in pathol...
The main objective of Hybrid Multimodal Medical Image Fusion (HMMIF) technique is to preserve salient image features and detailed information of multiple source images to produce a visual enhanced single fused image. Several multimodal medical image hybrid fusion techniques have been developed for pathological studies such as neurocysticercosis, degenerative and neoplastic diseases. In literature, the commonly reported medical image fusion modalities are CT, MRI, SPECT and PET. Each modality has unique features in clinical diagnosis; at the same time, these modalities have challenges in pathology. In this work, five different domains based multimodal medical image hybrid fusion techniques have been developed for various MRI-SPECT, MRI-PET and MRI-CT medical image fusion applications.
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