Eye-gaze driven surgical workflow segmentation

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 110-117

  James, A ^a   Vieira, D ^a   Lo, B ^a   Darzi, A ^a   Yang, G Z ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Eye tracking; Minimal invasive surgery; Neural networks; Surgical simulation; Surgical workflow

Indexed keywords

IMAGE SEGMENTATION; NEURAL NETWORKS; NONINVASIVE MEDICAL PROCEDURES;

EYE-TRACKING; LAPAROSCOPIC CHOLECYSTECTOMY MODEL; MINIMAL INVASIVE SURGERY; SURGICAL SIMULATION; SURGICAL WORKFLOW;

MEDICAL IMAGING;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED SURGERY; COMPUTER INTERFACE; EVALUATION; EYE FIXATION; EYE MOVEMENT; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SWINE; TASK PERFORMANCE; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; EYE MOVEMENTS; FIXATION, OCULAR; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SURGERY, COMPUTER-ASSISTED; SWINE; TASK PERFORMANCE AND ANALYSIS; USER-COMPUTER INTERFACE;

EID: 84883831186     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_14     Document Type: Conference Paper

References (17)

1. Rattner, W.D., Park, A.: Advanced devices for the operating room of the future. Seminars in Laparoscopic Surgery 10(2), 85-89 (2003)
2. Taffinder, N., Smith, S., Darzi, A.: Assessing operative skill. BMJ 318, 887-888 (1999)
3. Gallagher, A.G., Satava, R.M.: Virtual reality as a metric for the assessment of laparoscopic psychomotor skills. Surgical Endoscopy 16, 1746-1752 (2002)
4. Aggarwal, R., Undre, S., Moorthy, K., Vincent, C., Darzi, A.: The simulated operating theatre: comprehensive training for surgical teams. Qual Saf Health Care 13, 27-32 (2004)
5. Rosen, J., Macfarlane, M., Richards, C., Hannaford, B., Sinanan, M.: Surgeon-tool force/torque signatures evaluation of surgical skills in minimally invasive surgery. Medicine meets virtual reality- the Convergence of Physical & Informational technologies: options for a New Era in Healthcare 62, 290-296 (1999)
6. Rosen, J., Solazzo, M., Hannaford, B., Sinanan, M.: Task decomposition of laparoscopic surgery for objective evaluation of surgical residents' learning curve using hidden markov model. Comput. Aided Surg. 7, 802-810 (2002)
7. Sielhorst, T., Blum, T., Navab, N.: Synchronizing 3d movements for quantitative comparison and simultaneous visualization of actions. In: ISMAR. Proc. IEEE and ACM International on Mixed and Augemented Reality (2005)
8. Ahmadi, S.-A., Sielhorst, T., Stauder, R., Horn, M., Feussner, H., Navab, N.: Recovery of surgical workflow without explicit models. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 420-428. Springer, Heidelberg (2006)
9. Martin, J., Regehr, G., Reznick, R., MacRae, H., Murnaghan, J., Hutchinson, C., Brown, M.: Objective structured assessment of technical skill (OSATS) for surgical residents. Br.J.Surg. 193(5), 479-485 (2001)
10. Datta, V., Mackay, S., Mandalia, M., Darzi, A.: The use of electromagnetic motion tracking analysis to objectively measure open surgical skill in the laboratory-based model. J. Am.Coll.Surg. 193(5), 479-485 (2001)
11. James, A., Tchalenko, J., Darzi, A., Yang, G.-Z.: Proceedings ECEM, vol. 12 (2003)
12. Schmid, R., Zambarieri, D.: Strategies of eye-head coordination. In: Schmid, R., Zambarieri, D. (eds.) Oculomotor control and cognitive processes, pp. 229-248. North Holland, Amsterdam (1991)
13. Tobii technology. User Manual (2003), http://www.tobii.se
14. Vapnik, V.N.: Statistical learning theory. Wiley, New York (1998)
15. Caminhas, W.M., Vieira, D.A.G., Vasconcelos, J.A.: Parallel Layer Perceptron. Neurocomputing (55), 771-778 (2003)
16. Vieira, D.A.G, Vasconcelos, J.A., Caminhas, W.M.: Controlling the parallel layer perceptron complexity using multiobjective learing algorithm. Neural Computing & Applications 16(4/5), 317-325 (2007)
17. Vieira, D.A.G., Takahashi, R.H.C., Palade, V., Vasconcelos, J.A., Caminhas, W.M.: The Q-norm complexity measure and the Minimum Gradient Method: a novel approach to the machine learning structural risk minimization problem. IEEE Transactions on Neural Networks (2005)