Publications

@inproceedings{2014-Sharma-VBAOUSMT,

title = {Video Based Assessment of OSATS Using Sequential Motion Textures},

author = {Yachna Sharma and Vinay Bettadapura and Thomas Ploetz and Nils Hammerla and Sebastian Mellor and Roisin McNaney and Patrick Olivier and Sandeep Deshmukh and Andrew Mccaskie and Irfan Essa},

url = {https://smartech.gatech.edu/bitstream/handle/1853/53651/2014-Sharma-VBAOUSMT.pdf

https://www.semanticscholar.org/paper/Video-Based-Assessment-of-OSATS-Using-Sequential-Sharma-Bettadapura/1dde770faa24d4e04306ca6fb85e76dc78876c49},

year  = {2014},

date = {2014-09-01},

urldate = {2014-09-01},

booktitle = {Proceedings of Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI)},

abstract = {A fully automated framework for video-based surgical skill assessment is presented that incorporates the sequential and qualitative aspects of surgical motion in a data-driven manner. The Objective Structured Assessment of Technical Skills (OSATS) assessments is replicated, which provides both an overall and in-detail evaluation of basic suturing skills required for surgeons. Video analysis techniques are introduced that incorporate sequential motion aspects into motion textures. Significant performance improvement over standard bag-of-words and motion analysis approaches is demonstrated. The framework is evaluated in a case study that involved medical students with varying levels of expertise performing basic surgical tasks in a surgical training lab setting.



},

keywords = {activity assessment, awards, best paper award, computer vision, medical imaging, surgical training},

pubstate = {published},

tppubtype = {inproceedings}

}