The CATARACTS challenge paper has been accepted for publication in Medical Image Analysis.
This challenge is organized by researchers at the LaTIM laboratory:
- Hassan Al Hajj, M.Sc.,
- Gwenolé Quellec, Ph.D.,
- Mathieu Lamard, Ph.D.,
- Béatrice Cochener, M.D., Ph.D.
Publications of the team on the topic include:
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Al Hajj H, Lamard M, Conze P-E, Cochener B, Quellec G. Monitoring tool usage in cataract surgery videos using boosted convolutional and recurrent neural networks. arXiv:1710.01559[cs.CV]
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Quellec G, Cazuguel G, Cochener B, Lamard M. Multiple-instance learning for medical image and video analysis. IEEE Rev Biomed Eng. In press.
- Charrière K, Quellec G, Lamard M, Martiano D, Cazuguel G, Coatrieux G, Cochener B. Real-time analysis of cataract surgery videos using statistical models. Multimed Tools Appl. 2017 Nov;76(21):22473–91.
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Al Hajj H, Quellec G, Lamard M, Cazuguel G, Cochener B. Coarse-to-fine surgical instrument detection for cataract surgery monitoring. arXiv:1609.05619[cs.CV]
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Quellec G, Lamard M, Cochener B, Cazuguel G. Real-time task recognition in cataract surgery videos using adaptive spatiotemporal polynomials. IEEE Trans Med Imaging. 2015 Apr;34(4):877-87.
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Quellec G, Lamard M, Cochener B, Cazuguel G. Real-time segmentation and recognition of surgical tasks in cataract surgery videos. IEEE Trans Med Imaging. 2014 Dec;33(12):2352-60.
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Quellec G, Charrière K, Lamard M, Droueche Z, Roux C, Cochener B, Cazuguel G. Real-time recognition of surgical tasks in eye surgery videos. Med Image Anal. 2014 Feb;18(3):579-90.
If you have any questions, feel free to send an e-mail to: gwenole.quellec@inserm.fr.