A multistage hybrid approach is designed using the information from different MR models such as features from individual images and features from the fused images to improve the accuracy of detecting a brain tumor and internal tumor structure from MRI images.
Discovering the brain tumor and Intra-Tumoral structures from the brain tumor MR images is an essential task in tumor diagnostics. An automated system that accurately detects the brain tumor and intra-Tumoral structure from MR images will help the patients with a speedy recovery. It also reduces the time required for diagnosis.Detection of the brain tumor and the intra-Tumoral region is an intricate task as the structure of the tumor has different size, shape, location, and variation in intensity range. Here we have analyzed a variety of supervised and unsupervised learning techniques for the uncovering of a brain tumor and intraTumoral structures. We have designed a multistage hybrid approach using the information from different MR models such as features from individual images and features from the fused images to improve the accuracy of detecting a brain tumor and internal tumor structure from MRI images.