Fusing different medical Images will increase
the accuracy in diagnosis of disease and describe the
complicated relationship between them for medical
research. The current procedures take a lot of effort and
also requires additional data points for the models to be
trained. In this model, Through the use of multi-stage
fusion networks, we will combine various medical
Images such as Magnetic Resonance Imaging (MRI) and
Computed Tomography (CT) to recover the intricate
information. In the proposed model, we will use Dual
Tree Complex Wavelet Transform (DTCWT) to extract
the complicated and correlated information from each
Image and segmentation is done on fused Image to get
the segmented Image. In the proposed method, the
improved quality of final fused Image can be obtained.
Keywords :
Image Fusion, Dual Tree Complex Wavelet, MRI, CT Scan, Medical Images, Segmentation.