Multi Modal Image Fusion Technique For Detecting Brain Tumor

Different multimodalities in a clinical domain, for example, registered tomography and attractive reverberation imaging, are consolidated to give an intertwined picture. Assumption is a procedure for safeguarding urgent data by joining all applicable growth data from various pictures into a single combined picture. In this work, brain CT and MRI images are fused together and will be classified as normal or abnormal. If the network is detected as abnormal, the part of the tumour region is localized. All of this is accomplished through the use of the YOLOV2 architecture, CNN, and the IF technique. The hypothetical results are evaluated based on accuracy, with 96.5%.