Segmentation of laparoscopic images for computer assisted surgery

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

Volumn 2749, Issue , 2003, Pages 587-594

  Boisvert, Jonathan ^a   Cheriet, Farida ^a   Grimard, Guy ^b  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^b UNIVERSITY OF MONTREAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

LAPAROSCOPY; SUPPORT VECTOR MACHINES; SURGERY;

COMPUTER ASSISTED SURGERY; CONTROLLED ENVIRONMENT; HOMOMORPHIC FILTER; IMAGE SEGMENTATION ALGORITHM; INITIAL SEGMENTATION; INPUT IMAGE; LEARNING-BASED APPROACH; REGION GROWING;

IMAGE SEGMENTATION;

EID: 35248826112     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45103-x_78     Document Type: Article

References (17)

1. Kuhnapfel, U., Cakmak, H., Maass, H.: Endoscopic surgery training using virtual reality and deformable tissue simulation. Computers & Graphics UK 24 (2000) 671-682
2. Cotin, S., Delingette, H., Ayache, N.: Real-time elastic deformations of soft tissues for surgery simulation stéphane cotin, hervé delingette, and nicholas ayache. IEEE Trans, on Visualization and Computer Graphics 5 (1999) 62-73
3. Basdogan, C., Ho, C., Srinivasan, M.: Simulation of tissue cutting and bleeding for laparoscopic surgery using auxiliary surfaces. In: Proc. Medicine Meets Virtual Reality, IOS Press (1999) 38-44
4. Dey, D., Gobbi, D., Slomka, P., Surry, K., Peter, T.: Automatic fusion of freehand endoscopic brain images to threedimensional surfaces: Creating stereoscopic panoramas. IEEE Trans, on Medical Imaging 21 (2002) 23-30
5. Bricault, I., Ferretti, G., Cinquin, P.: Registration of real and ct-derived virtual bronchoscopic images to assist transbronchial biopsy. IEEE Trans, on Medical Imaging 17 (2002) 703-714
6. Lunn, K., Hartov, A., Roberts, D., Sun, H., Paulsen, K.: Extracting displacement data from coregistered ultrasound for brain modeling. In: Proc. of the SPIE Medical Imaging. (2002)
7. Wei, G., Arbter, K., Hirzinger, G.: Real-time visual servoing for laparoscopic surgery, controlling robot motion with color image segmentation. IEEE Engineering in Medicine and Biology Magazine 16 (1997) 40-45
8. Zhang, X., Payandeh, S.: Application of visual tracking for robot-assisted laparoscopic surgery. Journal of Robotic Systems 19 (2002) 315-328
9. Gonzalez, R., Woods, R.: Digital Image Processing. Prentice Hall (2002)
10. Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. International Journal of Computer Vision 22 (1997) 61-79
11. Deng, Y., Manjunath, B.: Unsupervised segmentation of color-texture regions in images and video. IEEE Trans. on Pattern Analysis and Machine Intelligence 23 (2001) 800-810
12. Vapnik, V.: The Nature of Statistical Learning Theory. Springer-Verlag (1995)
13. Chapelle, O., Haffner, P., Vapnick, V.: Support vector machines for histogrambased classification. IEEE Trans. on Neural Networks 10 (1995) 1055-1064
14. Tsutsumi, F., Nakajima, C.: Hybrid approach of video indexing and machine learning for rapid indexing and highly precise object recognition. In: Proc. ICIP. Volume 2. (2001) 645-648
15. Hu, M.K.: Visual pattern recognition by moment invariants. IRE Trans. Information Theory 8 (1962) 179-187
16. Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: Siggraph 2000, Computer Graphics Proceedings, ACM Press / ACM SIGGRAPH / Addison Wesley Longman (2000) 417-424
17. Ballester, C., Bertalmio, M., Caselles, V., Sapiro, G., Verdera, J.: Filling-in by joint interpolation of vector fields and grey levels. IEEE Trans, on Image Processing 10 (2000) 1200-1211