Brain Tumour Detection and Segmentation Techniques: A State-Of-The-Art Review
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Brain tumor is a disease difficult to cure. Therefore detection of brain tumor at an initial stage can help in easy and proper diagnosis. Image processing exercises a major role in analysis of the medical imagery. In medical image processing, brain tumor detection is considered as the most difficult and cha1lenging activity. Magnetic Resonance Imaging (MRI) is an advanced medical imaging approach for analyzing the body’s inner anatomy. MRI produces high quality images of human soft tissues that help in brain tumor diagnosis. Due to complex nature of brain MR images, the precise MRI image segmentation is necessary for brain tumor diagnosis. Next, the tumor classification into benign and ma1ignant is a tough job on account of differences in features of tissues of tumor such as gray level intensities, size, and structure. This paper addresses the potencies and weaknesses of the previously adduced classification strategies. The paper provides an insight into the reviewed literature to reveal new aspects of research and proposes a hybrid technique for brain tumor detection and segmentation.
Authors and Affiliations
Mansi Lather, Parvinder Singh
Keywords
Related Articles
- EP ID EP24390
- DOI -
- Views 334
- Downloads 10
Sharing Secure Data in the Cloud for the Multiuser Group
The data is stored in the cloud. Storing data should be risky. Cloud provider should be trustful because the data is confidentential. The Group manager keeps the record of group members. The key distribution is done to...
Balanced Pipeline Stages with Minimum Logic Delay on Encrypted High Speed Data Using FPGA Based AES Algorithm
Cryptography is the study of mathematical techniques related to aspects of information security such as confidentiality, data integrity, entity authentication and data origin authentication. In data and telecommunicatio...
Wireless Machine to Machine (M2M) based e-Healthcare System
Nowadays, machine-to-machine (M2M) communication is being considered as the most promising solution for the future intelligent pervasive applications. It provides a framework to develop services in different fields such...
Railway Fault Detection System using Mobile Communication and Sensor Technology
This paper proposes a cost effective yet robust solution to the problem of railway crack detection, obstacle detection and fire detection utilizing a method that is unique in the sense that while it is simple, the idea...
Parametric Study of Variation in Peak Temperature for Different Tool Material in AA6061 FSW Welded Butt Joint Using Altair Hyperweld
Friction Stir Welding (FSW) is an emerging solid-state joining technology that is being developed since last two decades. In this present study, three dimensional nonlinear virtual experiments is conducted using ALTAIR...