DocumentCode
678469
Title
Evaluation of tumor segmentation
Author
Bansal, Sunny ; Mittal, Anish
Author_Institution
Comput. Sci. & Eng., PEC Univ. of Technol., Chandigarh, India
fYear
2013
fDate
4-6 July 2013
Firstpage
1
Lastpage
4
Abstract
X-ray images are commonly used for diagnosis because of the property that different tissues absorb X-rays differently. Detection of lytic areas using X-ray images is a challenging problem due to irregular shapes, intensity in-homogeneity and diffused boundaries. The problem has been addressed by segmenting lytic area on the basis of different cues such as intensity, density, and texture. However, the approaches based on single cue have failed to produce the desired results. In this paper, a hybrid technique has been tested to segment lytic region using X-ray images. The hybrid method has been qualitatively evaluated by taking assistance from the domain experts. The results of evaluation indicate that the hybrid approach shows better result as compared to single cue techniques.
Keywords
diagnostic radiography; image segmentation; medical image processing; object detection; tumours; X-ray images; hybrid technique; lytic area detection; lytic area segmentation; single cue technique; tumor segmentation evaluation; Bones; Image segmentation; Medical diagnostic imaging; Noise; Tumors; X-ray imaging; Adaptive Threshold; DBSCAN; Fuzzy C-Means (FCM) clustering; X-ray images; tumor segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location
Tiruchengode
Print_ISBN
978-1-4799-3925-1
Type
conf
DOI
10.1109/ICCCNT.2013.6726504
Filename
6726504
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