Elmasry, W. H., H. M. Moftah, N. El-Bendary, and A. E. Hassanien,
"Graph Partitioning based Automatic Segmentation Approach for CT Scan Liver Images",
IEEE Federated Conference on Computer Science and Information Systems, pp. 205–208, Wroclaw - Poland , 9-13 Sept, 2012.
AbstractManual segmentation of liver computerized tomography (CT) images is very time consuming, so it is desired to develop a computer-based approach for the analysis of liver
CT images that can precisely segment the liver without any human intervention. This paper presents normalized cuts graph partitioning approach for liver segmentation from CT images. To evaluate the performance of the presented approach, we present tests on different liver CT images. Experimental results obtained show that the overall accuracy offered by the employed normalized cuts technique is high compared to the well known K-means segmentation approach.
Mostafa, A., H. Hefny, N. I. Ghali, A. E. Hassanien, and G. Schaefer,
"Evaluating the effects of image filters in CT liver CAD system",
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on: IEEE, pp. 448–451, 2012.
Abstractn/a
Mostafa, A., H. Hefny, N. I. Ghali, A. E. Hassanien, and G. Schaefer,
"Evaluating the effects of image filters in CT liver CAD system",
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on: IEEE, pp. 448–451, 2012.
Abstractn/a
Mostafa, A., H. Hefny, N. I. Ghali, A. E. Hassanien, and G. Schaefer,
"Evaluating the effects of image filters in CT liver CAD system",
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on: IEEE, pp. 448–451, 2012.
Abstractn/a
Moftah, H. M., W. H. Elmasry, N. El-Bendary, A. E. Hassanien, and K. Nakamatsu,
"Evaluating the effects of k-means clustering approach on medical images",
Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on: IEEE, pp. 455–459, 2012.
Abstractn/a
Moftah, H. M., W. H. Elmasry, N. El-Bendary, A. E. Hassanien, and K. Nakamatsu,
"Evaluating the effects of k-means clustering approach on medical images",
Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on: IEEE, pp. 455–459, 2012.
Abstractn/a