
Deep Learning Technique for Brain Tumor Detection using Medical Image Fusion
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i1179.0789s219
Subject(s) - artificial intelligence , brain tumor , computer science , image fusion , computer vision , redundancy (engineering) , fusion , field (mathematics) , process (computing) , image (mathematics) , pattern recognition (psychology) , medicine , pathology , mathematics , linguistics , philosophy , pure mathematics , operating system
Brain Tumor detection using Medical image fusion plays an important role in medical field .Using Fusion technique, The medical image can be enhanced to detect the tumor. It is a mechanism of combining various images of same scene into a single fused image to reduce uncertainty and redundancy, also extracting vital information from the source images. The applications used here to detect Brain Tumor are DBN and CNN techniques. This paper emerges a new process of fusing the images to produce efficient and reliable result for detecting the cancerous tissue and early detection of Brain Tumor.