We report a deep learning-based automatic segmentation (AS) algorithm (WBNet) that can accurately and efficiently delineate all major OARs in the entire body ...
We formulate an anatomy-guided deep learning hybrid intelligence approach for segmenting thoracic right and left brachial plexuses consisting of 2 key stages.
May 31, 2023 · We formulate an anatomy-guided deep learning hybrid intelligence approach for segmenting thoracic right and left brachial plexuses consisting of ...
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Oct 22, 2024 · Purpose: This report presents the methods and results of the Thoracic Auto-Segmentation Challenge organized at the 2017 Annual Meeting of ...
Aug 24, 2018 · This report presents the methods and results of the Thoracic Auto-Segmentation Challenge organized at the 2017 Annual Meeting of American Association of ...
[PDF] Autosegmentation for thoracic radiation treatment planning
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Jan 10, 2018 · The overall objective of this grand challenge was to provide a platform for comparison of various autosegmenta- tion algorithms, a guideline for ...
For this reason we sought to investigate the feasibility and utility of TaCTICS in evaluating the quality of auto-segmentation algorithms by comparing their ...
We formulate an anatomy-guided deep learning hybrid intelligence approach for segmenting thoracic right and left brachial plexuses consisting of 2 key stages.
Jan 7, 2016 · The present study aimed to define the optimal number of atlases for automatic multi-atlas-based brachial plexus (BP) segmentation.
In this retrospective study, we implemented and evaluated automatic segmentation of the brachial plexus in 90 lung cancer patients using a multi-atlas approach.