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 · The proposed method is tested on a dataset that consists of 125 images of the thorax acquired for radiation therapy planning of tumors in the ...
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We formulate an anatomy-guided deep learning hybrid intelligence approach for segmenting thoracic right and left brachial plexuses consisting of 2 key stages.
Oct 22, 2024 · To investigate atlas-based auto-segmentation methods to improve the quality of the delineation of low-risk clinical target volumes (CTVs) of ...
Aug 5, 2024 · Auto-segmentation of thoracic brachial plexuses for radiation therapy planning. Medical Imaging: Image-Guided Procedures 2023; 2022. [j5]. view.
May 4, 2014 · A deliverable four-dimensional intensity-modulated radiation therapy-planning method for dynamic multileaf ... Auto-segmentation of the brachial ...
A multi-atlas segmentation approach to facilitating accurate and consistent delineation of low-contrast brachial plexuses on computed tomographic images for ...
We formulate an anatomy-guided deep learning hybrid intelligence approach for segmenting thoracic right and left brachial plexuses consisting of 2 key stages.
Mar 31, 2023 · On the 22nd February 2023, our poster titled: "Auto-segmentation of thoracic brachial plexuses for radiation therapy planning" was presented ...