1 |
T. Heimann, et al., Comparison and Evaluation of Methods for Liver Segmentation from CT Datasets, IEEE Transactions on Medical Imaging 28. pp. 1251 - 1265, 2009.
DOI
|
2 |
Anamika Ahirwar, Study of Techniques used for Medical Image Segmentation and Computation of Statistical Test for Region Classification of Brain MRI, Information Technology and Computer Science 5. pp. 44 - 53, 2013.
DOI
|
3 |
D. Furukawa, A. Shimizu, and H. Kobatake, Automatic liver segmentation based on maximum a posterior probability estimation and level set method, Proc. MICCAI Workshop 3-D Segment at. Clinic: A Grand Challenge. pp. 117 - 124, 2007.
|
4 |
Anter, AM., Azar, AT., Hassanien, AE., El-Bendary, N., ElSoud, M.A, Automatic computer- aided segmentation for liver and hepatic lesions using hybrid segmentations techniques, Computer Science and Information Systems. pp. 193 - 198, 2013.
|
5 |
Nobuyuki Otsu, A threshold selection method from gray-level histograms, IEEE Trans. Sys., Man., Cyber. 9 pp. 62 - 66, 1979.
DOI
|
6 |
Paoula Campadelli, Elena Kaseraghi, Liver segmentation from computed tomography scans: A survey and a new algorithm, Artificial intelligence in medicine 45. pp. 185 - 196, 2009.
DOI
|
7 |
Powers, D.M.W., Evaluation: From precision, recall and F-measure to RoC, informedness, markedness & correlation, Journal of Machine Learning Technologies 2. pp. 37 - 63, 2011.
|
8 |
http://www.sliver07.org
|