Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques
Journal Title: International Journal on Computer Science and Engineering - Year 2014, Vol 6, Issue 7
Abstract
Colorectal cancer is the third most commonly diagnosed cancer and the second leading cause of cancer death in men and women. Magnetic resonance imaging (MRI) established itself as the primary method for detection and staging in patients with colorectal cancer. In this paper MRI images of Colorectal cancer are used to detect the area and mean values of tumor area and distance from tumor area to other parts for staging the cancer. This paper describes algorithms for preprocessing, clustering and post processing of MRI images. The paper shows the implementation of algorithm for preprocessing using image enhancement techniques, clustering using adaptive k-means algorithm and post processing using image processing techniques in MATLAB.
Authors and Affiliations
Arjun Nelikanti , Narasimha Prasad L V , Naresh Goud M
Keywords
Related Articles
- EP ID EP105242
- DOI -
- Views 113
- Downloads 0
Digital Image Search & Retrieval using FFT Sectors of Color Images
Abstract- This paper presents the method developed to search and retrieve similar images from a large database. The Fourier transform is used to generate the feature vectors based on the mean values of real and imaginary...
AN IMPROVED HYBRIDIZED KMEANS CLUSTERING ALGORITHM (IHKMCA) FOR HIGHDIMENSIONAL DATASET & IT’S PERFORMANCE ANALYSIS
In practical life we can see the rapid growth in the various data objects around us, which thereby demands the increase of features and attributes of the data set. This phenomenon, in turn leads to the increase of dimens...
Wide Area Network’s Reliability Redundancy Design Using Simulation
Reliability is the main characteristic to evaluate the performance of WAN's. The devices used in the network and their availability in the market make the network to give services without interruptions. Redundant network...
Clustering Mixed Data Points Using Fuzzy CMeans Clustering Algorithm for Performance Analysis
Clustering plays an outstanding role in data mining research. Among the various algorithms for clustering, most of the researchers used the Fuzzy C-Means algorithm (FCM) in the areas like computational geometry, data com...
Routing in Highly Dynamic Ad Hoc Networks: Issues and Challenges
The aim of this research paper is to analyze the various issues and challenges involved in routing of data packets in highly mobile ad hoc networks. Routing in ad hoc networks has always been a challenging and tough task...