BIOLOGICAL EARLY BRAIN CANCER DETECTION USING ARTIFICIAL NEURAL NETWORK
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 8
Abstract
Computer aided diagnosis systems for detecting malignant texture in biological study have been investigated using several techniques. This paper presents an approach in omputer-aided diagnosis for early prediction of brain cancer using Texture features and neuro classification logic. The Tumor mass detection and Cluster micro classification is used as the processing method for cancer prediction. Nine distinct invariant features with calculation of minimum distance for the prediction of cancer are used for the prediction of tumor in a given MRI image. A neuro fuzzy approach is used for the recognition of the extracted region. The implementation is observed on various types of MRI images with different types of cancer regions.
Authors and Affiliations
G Vijay Kumar , Dr GV Raju
Keywords
Related Articles
- EP ID EP124257
- DOI -
- Views 107
- Downloads 0
Mathematical algorithms for determination of mixed layer height from laser radar signals
This paper describes different mathematical algorithms used in the determination of mixed layer height (MLH) from the laser radar (lidar) signals. These methods are successfully applied to the indigenously developed port...
Cluster Based Message Dissemination for Broadcasting the Emergency/Warning Messages using a Novel Scheduling in VANETS
Vehicular ad hoc networks are a special case of mobile ad hoc networks (MANETs). Unlike MANETs, VANET nodes are moving very fast. It becomes quite challenging to maintain a stable path for broadcasting Emergency and Warn...
Unsupervised Hybrid Classification for Texture Analysis Using Fixed and Optimal Window Size
For achieving better classification results in texture analysis, it is to combine different classification methods. Though there are existing methods which have been using fixed window size that resulted lack of classifi...
Study of Efficient Technique Based On 2D Tsallis Entropy For Image Thresholding
Thresholding is an important task in image processing. It is a main tool in pattern recognition, image segmentation, edge detection and scene analysis. In this paper, we present a new thresholding technique based on two-...
A Survey of Denial of Service Attacks and it’s Countermeasures on Wireless Network
Wireless networks are popular among the Laptop user community today because of the mobility and ease of use. People working through wireless connection must be aware of the surroundings due to the various types of attack...