Automated surgical OSATS prediction from videos

Sharma, Yachna and Plötz, Thomas and Hammerld, Nils and Mellor, Sebastian and McNaney, Roisin and Olivier, Patrick and Deshmukh, Sandeep and McCaskie, Andrew and Essa, Irfan (2014) Automated surgical OSATS prediction from videos. In: 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., CHN, pp. 461-464. ISBN 9781467319591

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Abstract

The assessment of surgical skills is an essential part of medical training. The prevalent manual evaluations by expert surgeons are time consuming and often their outcomes vary substantially from one observer to another. We present a video-based framework for automated evaluation of surgical skills based on the Objective Structured Assessment of Technical Skills (OSATS) criteria. We encode the motion dynamics via frame kernel matrices, and represent the motion granularity by texture features. Linear discriminant analysis is used to derive a reduced dimensionality feature space followed by linear regression to predict OSATS skill scores. We achieve statistically significant correlation (p-value

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2700/2741
Subjects:
ID Code:
84999
Deposited By:
Deposited On:
02 Mar 2017 13:50
Refereed?:
Yes
Published?:
Published
Last Modified:
18 Nov 2020 10:23