A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery
IEEE Transactions on Biomedical Engineering2017Vol. 64(9), pp. 2025–2041
Citations Over TimeTop 1% of 2017 papers
Narges Ahmidi, Lingling Tao, Shahin Sefati, Yixin Gao, Colin Lea, Benjamı́n Béjar, Luca Zappella, Sanjeev Khudanpur, Renè Vidal, Gregory D. Hager
Abstract
The results reported in this paper provide the first systematic and uniform evaluation of surgical activity recognition techniques on the benchmark database.
Related Papers
- → Multiscale conditional random fields for image labeling(2004)840 cited
- → Object Detection Based on Combination of Conditional Random Field and Markov Random Field(2006)15 cited
- → MRF and CRF Based Image Denoising and Segmentation(2014)6 cited
- → Hidden Markov Model(2015)3 cited
- → Hidden Markov Model ( HMM , Hidden Semi‐Markov Models, Profile Hidden Markov Models, Training of Hidden Markov Models, Dynamic Programming, Pair Hidden Markov Models)(2004)2 cited