Surgical Tools Recognition and Pupil Segmentation for Cataract Surgical Process Modeling

Surgical Tools Recognition and Pupil Segmentation for Cataract Surgical Process Modeling. Bouget, D., Lalys, F., & Jannin, P. In Studies in Health Technology and Informatics, volume 173, pages 78--84, February, 2012.

Paper abstract bibtex

In image-guided surgery, a new generation of Computer-Assisted- Surgical (CAS) systems based on information from the Operating Room (OR) has recently been developed to improve situation awareness in the OR. Our main project is to develop an application-dependant framework able to extract high- level tasks (surgical phases) using microscope videos data only. In this paper, we present two methods: one method to segment the pupil and one to extract and recognize surgical tools. We show how both methods improve the accuracy of the framework for analysis of cataract surgery videos, to detect eight surgical phases.

@inproceedings{bouget_surgical_2012,
	title = {Surgical {Tools} {Recognition} and {Pupil} {Segmentation} for {Cataract} {Surgical} {Process} {Modeling}},
	volume = {173},
	url = {http://www.hal.inserm.fr/inserm-00669660},
	abstract = {In image-guided surgery, a new generation of Computer-Assisted- Surgical (CAS) systems based on information from the Operating Room (OR) has recently been developed to improve situation awareness in the OR. Our main project is to develop an application-dependant framework able to extract high- level tasks (surgical phases) using microscope videos data only. In this paper, we present two methods: one method to segment the pupil and one to extract and recognize surgical tools. We show how both methods improve the accuracy of the framework for analysis of cataract surgery videos, to detect eight surgical phases.},
	urldate = {2013-02-13TZ},
	booktitle = {Studies in {Health} {Technology} and {Informatics}},
	author = {Bouget, David and Lalys, Florent and Jannin, Pierre},
	month = feb,
	year = {2012},
	keywords = {Bag-of-words, computer vision, mathematical morphology, video analysis},
	pages = {78--84}
}

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