Multi Modal Image Fusion Techniques to Detect Brain Tumor

Various multimodalities in the medical realm, such as computed tomography (CT) and magnetic resonance imaging (MRI), are combined to provide a fused image. Image fusion (IF) is a technique for preserving crucial information by combining all relevant information from numerous images into a single fused image. 

In this work, brain CT and MRI images are fused together and will be classified as normal/abnormal. If the network is detected as abnormal, the part of the tumor region is localized. These works are done by using Convolutional Neural Network, YOLOV2 architecture and image processing techniques. The experimental results are evaluated on the basis of model accuracy.

Keywords: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Convolutional Neural Network, YOLO.