Segmentation and Classification of MR Images by DWT and RBF
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 4
Abstract
Diagnosing brain tumor is a crucial task. Brain which can be affected by number of problems like glioma the most frequent primary brain tumor in adults originating from glial cells, these could cause changes in brains normal structure and its normal behavior. Fusing several methods together based on their hierarchy, a powerful computational tool has been recently developed which is segmenting and classifying brain tumor based on neural networks. This method produces an efficient and automatic way of detecting the suspicious region/tumor in the central nervous system.
Authors and Affiliations
R. Karunya Packiya Jerry, V. Josephine Sutha
Image Predictions and Classifications with Certificate Secure Policy
Our social network is an add electronic service for data sharing sites. It is add service which provides a reliable communication, through this communication and new fast searching service; they can easily wrong use the...
RFID Technology for IOT Based Meal Management System
The current systems of Meal Management in the canteens can be upgraded using Internet of Things (IoT) paradigm involving RFID technology with the purpose to make the existing system faster and efficient. RF identificati...
Effect of Oxygen Enrichment on Emission Characteristics of a Variable Compression Ratio Diesel Engine
The objective of this research is to explore the effect of oxygen enrichment on emission characteristics for a single cylinder variable compression ratio diesel engine. In this study, a computerised test rig with data a...
slugA Survey on Enhancing Network Lifetime of Nodes in Wireless Sensor Networks
Wireless sensor networks have become an important research area in the field of computers and electronics in the last decade. The original motivation for the development of wireless sensor networks was military applicat...
Efficient Fixed-Point DLMS Adaptive Filter Implementation on FPGA
In this paper, we present an efficient architecture for the implementation of a delayed least mean square adaptive filter. For achieving lower adaptation-delay and area-delay-power efficient implementation, we use a nov...