Oct 6, 2021 · In this study, we present a densely connected shape aware multi-scale segmentation model which captures multi-scale features and integrates shape features.
In this study, surgical scene understanding (instance segmentation) is addressed to the context of robot assisted knee arthroscopy- the minimally invasive ...
Sep 8, 2024 · In this study, we present a densely connected shape aware multi-scale segmentation model which captures multi-scale features and integrates ...
A densely connected shape aware multi-scale segmentation model which captures multi- scale features and integrates shape features to achieve tissue-tool ...
Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation · no code implementations • 6 Oct 2021 • Shahnewaz Ali, Prof. Ross Crawford ...
A study that developed algorithms to measure the dimension and uncertainty range of free space inside the knee joint for the purpose of minimally invasive ...
Ali S, Crawford R, Maire F, et al. Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation. 2021. arXiv:2110.02657v1. Google Scholar.
Co-authors ; Towards Robotic Knee Arthroscopy: Multi-Scale Network for Tissue-Tool Segmentation. S Ali, P Crawford, D Maire, A Pandey, K Ajay. arXiv preprint ...
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For safety-critical systems such as robotic surgery, it is important to identify when and where the network fails to predict accurate pixel classification.
In this work, we consider image visualization challenges of knee arthroscopy-an established MIS procedure to treat knee-joint. As part of this procedure, an ...