Two datasets containing a total of 374 multi-detector CT scans from 355 patients were prepared and 4505 vertebrae have individually been annotated at voxel ...
Jan 24, 2020 · Two datasets containing a total of 374 multi-detector CT scans from 355 patients were prepared and 4505 vertebrae have individually been ...
Apr 27, 2024 · The principal takeaway from VerSe: the performance of an algorithm in labelling and segmenting a spine scan hinges on its ability to correctly ...
in VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. Spine or vertebral segmentation is a crucial step in all ...
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi ...
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A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data · A Novel Deep Learning Pipeline for Vertebra ...
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We believe VerSe can help here. VerSe is a large scale, multi-detector, multi-site, CT spine dataset consisting of 374 scans from 355 patients. The challenge ...
Feb 10, 2020 · The challenge consisted of two tasks, vertebrae labelling and vertebrae segmentation. For this a total of 160 multidetector CT scan cohort ...
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Segmentation and Identification of Vertebrae in CT Scans Using CNN, k ...
Jan 24, 2020 · A detailed performance analysis of eleven fully automated algorithms of the participating teams were submitted to be benchmarked on the ...