Open AccessDetection of Brain Tumor by Medical Image Processing
Author(s) -
Shivangi Mahajan,
Sakshi Saini
Publication year - 2019
Publication title -
journal of drug delivery and therapeutics
Language(s) - English
Resource type - Journals
ISSN - 2250-1177
DOI - 10.22270/jddt.v9i4-s.3376
Subject(s) - brain tumor , computer science , image processing , artificial intelligence , documentation , segmentation , computer vision , field (mathematics) , pattern recognition (psychology) , image (mathematics) , medicine , pathology , mathematics , pure mathematics , programming language
Medical image processing is the most inspiring and developing field today. This paper labels the method of discovery & removal of brain tumor from patient’s MRI scan images of the brain. In this paper, a technique for separation of brain tumor has been developed on 2D-MRI facts which allow the documentation of tumor tissue with great accuracy and reproducibility compared to manual techniques. The first step of discovery of brain tumor is to patterned the symmetric and asymmetric Form of brain which will define the irregularity After this step the next step is segmentation which is built on two techniques 1) F-Transform (Fuzzy Transform) 2) Morphological operation. These two techniques are used to project the image in MRI. Now by this help of project we can sense the boundaries of brain tumor and calculate the real area of tumor.
Keywords: Brain tumor, medical image processing, MRI.