158 citations · 374 across the 9 of their papers we have counts for
6 papers · 1 filter
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images
Weixi Yi, Vasilis Stavrinides, Zachary M. C. Baum +5
We propose Boundary-RL, a novel weakly supervised segmentation method that utilises only patch-level labels for training. We envision the segmentation as a boundary detection probl…
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction
Qi Li, Ziyi Shen, Qian Li +5
Three-dimensional (3D) freehand ultrasound (US) reconstruction without using any additional external tracking device has seen recent advances with deep neural networks (DNNs). In t…
Active learning using adaptable task-based prioritisation
Shaheer U. Saeed, João Ramalhinho, Mark Pinnock +9
Supervised machine learning-based medical image computing applications necessitate expert label curation, while unlabelled image data might be relatively abundant. Active learning…
Gesture Recognition in Robotic Surgery: a Review
Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov
Objective: Surgical activity recognition is a fundamental step in computer-assisted interventions. This paper reviews the state-of-the-art in methods for automatic recognition of f…
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov
Surgical gesture recognition is important for surgical data science and computer-aided intervention. Even with robotic kinematic information, automatically segmenting surgical step…
Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas
Timur Kuzhagaliyev, Neil T. Clancy, Mirek Janatka +7
Irreversible electroporation (IRE) is a soft tissue ablation technique suitable for treatment of inoperable tumours in the pancreas. The process involves applying a high voltage el…