Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition

Author:

Shi Xueying,Jin Yueming,Dou Qi,Heng Pheng-Ann

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference49 articles.

1. Ahsan, U., Sun, C., Essa, I., 2018. DiscrimNet: semi-supervised action recognition from videos using generative adversarial networks. arXiv preprint arXiv:1801.07230.

2. ReMixMatch: semi-supervised learning with distribution alignment and augmentation anchoring;Berthelot,2020

3. MixMatch: a holistic approach to semi-supervised learning;Berthelot,2019

4. Active learning using deep Bayesian networks for surgical workflow analysis;Bodenstedt;Int. J. Comput. Assisted Radiol. Surg.,2019

5. Vision-based and marker-less surgical tool detection and tracking: a review of the literature;Bouget;Med. Image Anal.,2017

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