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Multimodal medical image fusion is extracting the necessary information from the source images into a single image which could be more informative for resourceful clinical study. This paper presents multimodal medical image fusion framework using the stationary wavelet transform (SWT) for medical images (i.e., magnetic resonance imaging and computed tomography scan) acquired using two distinct medical imaging sensors. The main objectives of the proposed approach are to improve the quality ofdoi:10.22214/ijraset.2018.1275 fatcat:c64ack6scfd5jmdmqzkzy3gseu