Title :
Comparative study of tumor detection algorithms
Author :
Afshan, Nailah ; Qureshi, Shaima ; Hussain, Syed Mujtiba
Author_Institution :
Dept. of Inf. Technol., Nat. Inst. of Technol., Srinagar, India
Abstract :
Image segmentation has become an area of boundless possibilities to explore as the advances in research field in this domain are gaining momentum. One of the most crucial implementation of this field is brain tumor segmentation and detection; as the manual segmentation of the tumors by doctors is a time consuming & risky task. Brain tumor segmentation is a crucial step in surgical planning and treatment planning. In image processing, we use the implementation of simple algorithms for detection of range and shape of tumor in brain MR images. This paper presents a comparative study of different approaches for segmenting brain tumor from MRI images.
Keywords :
biomedical MRI; brain; image segmentation; medical image processing; tumours; brain MR images; brain tumor segmentation; image segmentation; surgical planning; treatment planning; tumor detection algorithm; Brain; Clustering algorithms; Histograms; Image segmentation; Magnetic resonance imaging; Shape; Tumors; Brain Slicing; Fuzzy C-Means segmentation; Histogram Thresholding; K-Means Clustering; MRI; tumor;
Conference_Titel :
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location :
Greater Noida
Print_ISBN :
978-1-4799-5096-6
DOI :
10.1109/MedCom.2014.7006013
