Title :
Evaluation of tumor segmentation
Author :
Bansal, Sunny ; Mittal, Anish
Author_Institution :
Comput. Sci. & Eng., PEC Univ. of Technol., Chandigarh, India
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;
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
DOI :
10.1109/ICCCNT.2013.6726504