DocumentCode
2144032
Title
Effectiveness of Soft Computing Techniques for Medical Imaging
Author
Ahirwar, Anamika ; Jadon, Rakesh Singh
Author_Institution
Dept. of Comput. Sci. & Eng., Maharana Pratap Coll. of Technol., Gwalior, India
fYear
2013
fDate
27-29 Sept. 2013
Firstpage
336
Lastpage
338
Abstract
Segmentation of anatomical regions of the medical imaging is a critical problem. In this paper, we propose effectiveness of soft computing techniques for segmenting medical imaging. This paper explores the possibility of applying techniques for segmenting the regions of medical image. We them compute the effectiveness of the applied techniques on medical imaging and compare their results from the database given on the web. We tested the results to calculate the effectiveness of the techniques used for segmenting the tumor region in brain images and digital mammogram images.
Keywords
fuzzy logic; image segmentation; mammography; medical image processing; neural nets; tumours; uncertainty handling; anatomical region segmentation; brain images; database; digital mammogram images; medical imaging; soft computing techniques; tumor region; Biomedical imaging; Brain; Databases; Diseases; Image segmentation; Magnetic resonance imaging; Tumors; Digital Database for Screening Mammography (DDSM); Fuzzy c-means (FCM); Glioma; Meningioma and Sarcoma; Metastatic adenocarcinoma; Metastatic bronchogenic carcinoma; Neoplastic Disease; Self Organizimg Map (SOM); confusion matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2013 5th International Conference on
Conference_Location
Mathura
Type
conf
DOI
10.1109/CICN.2013.76
Filename
6658011
Link To Document