Automatic segmentation of single and multiple neoplastic hepatic lesions in CT images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4528 LNCS, Issue PART 2, 2007, Pages 63-71

  Ciecholewski, Marcin ^a   Ogiela, Marek R ^a  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; PARAMETERIZATION; PIXELS; TUMORS;

APPROXIMATE CONTOUR MODELS; AUTOMATIC SEGMENTATION; CT IMAGES; NEOPLASTIC HEPATIC LESIONS;

IMAGE SEGMENTATION;

EID: 38149088217     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73055-2_8     Document Type: Conference Paper

References (12)

1. Chen, E.L., Chung, P.C., Chen, C.L.,Tsai, H.M., Chang, C.I.: An automatic diagnostic system for CT liver image classification, IEEE Transactions on Biomedical Engineering, Vol. 45. No. 6.(1998) 783-794.
2. Ciecholewski M., Dȩbski K.: Automatic Segmentation of the Liver in CT Images Using a Model of Approximate Contour LNCS, Vol. 4263. (2006) 75-84.
3. Ciecholewski M., Dȩbski K.: Automatic detection of liver contour in CT images. Automatics, semi-annual journal of the AGH University of Science and Technology, Vol. 10. No. 2. (2006).
4. Danaei, G., Vander Hoorn S., Lopez A.D., Murray C.J., Ezzati M.: Causes of cancer in the world: comparative risk assessment of nine behavioural and environmental risk factors. Lancet, Vol. 366. (2005) 1874-1793.
5. Meyer- Bäse, A.: Pattern Recognition for medical imaging. Elsevier Academic Press (2004)
6. Park, S., Seo, K., Park, J.: Automatic Hepatic Tumor Segmentation Using Statistical Optimal Threshold. LNCS, Vol. 3514. (2005) 934-940.
7. Rangayan R.M.: Biomedical signal analysis. Wiley Computer Publishing, New York (1997)
8. Ritter, G.X., Wilson, J.N.: Computer Vision Algorithms in Image Algebra. CRC Press, Boca Raton, Florida (2000)
9. Seo, K.: Automatic Hepatic Tumor Segmentation Using Composite Hypotheses. LNCS, Vol. 3656. (2005) 922-929.
10. Seo, K., Chung, T.: Automatic Boundary Tumor Segmentation of a Liver. LNCS, Vol. 3483. (2005) 836-842.
11. Sonka, M., Fitzpatrick, J.M.: Handbook of Medical Imaging volume 2. Medical Image Processing and Analysis. SPIE Press, Bellingham WA (2000)
12. Tadeusiewicz, R., Ogiela, M.: Medical Image Understanding Technology. Springer, Berlin-Heidelberg (2004)