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 :
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