DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-4,Issue-7 ( Jul, 2017 ) | |||||||||
Paper Title |
A Hybrid Approach for Detection of Tumor in Abdominal CT Scan Images | |||||||||
Author Name |
G.G. Rajput, Anand Chavan | |||||||||
Affilition |
Department of Computer Science, Rani Channamma University, Belgavi, India. Department of Computer Science and Application, Solapur University, Solapur, India. | |||||||||
Pages |
72-77 | |||||||||
Abstract |
In this paper an efficient segmentation technique for detection of tumor in abdomen/liver CT scan images is presented. The proposed method integrates region growing and level set techniques. First, the contrast of original image is enhanced making the boundaries of the object apparent for segmentation; secondly, region growing combined with anatomical prior knowledge is applied to extract abdomen/liver region; thirdly, levelset method is used for refinement; and finally, morphological operations are used for post-processing. Standard deviation and tumor burden parameters are used to validate the proposed method. The experimental results show that the proposed method achieves an accuracy of 91.66% and specificity of 75%. Index Terms - Abdomen/Liver Segmentation, Region Growing, Levelset. | |||||||||
| View Paper | ||||||||||
