With the objective of addressing the need for a large spine CT dataset and to provide a common benchmark for current and future spine-processing algorithms, we ...
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Jul 22, 2021 · 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 ...
Jan 24, 2020 · A detailed performance analysis of eleven fully automated algorithms of the participating teams were submitted to be benchmarked on the ...
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 · List of references · Publications that cite this publication.
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 ...
Jan 24, 2020 · The challenge consisted of two tasks, vertebrae labelling and vertebrae segmentation. For this a total of 160 multidetector CT scan cohort ...
![PDF] Coarse to Fine Vertebrae Localization and Segmentation with ...](/proxy/https://www.google.com/imgres?imgurl=/proxy/https://d3i71xaburhd42.cloudfront.net/768d6305a850137955d83c146066c3f5299d7c60/2-Figure1-1.png&imgrefurl=/proxy/https://www.semanticscholar.org/paper/Coarse-to-Fine-Vertebrae-Localization-and-with-and-Payer-%25C5%25A0tern/5e99e7d5ef85bc8cd0bef0857ca1d5f1594724e1&h=760&w=626&tbnid=YeNaQvyN-YA_rM&q=VerSe:+A+Vertebrae+Labelling+and+Segmentation+Benchmark+for+Multi-detector+CT+Images.&tbnh=142&tbnw=117&usg=AI4_-kTpvCMJJh5JC8E_aVqheBN25JlK_Q&vet=1&docid=oh5_ZTI-mXd3MM&sa=X&ved=2ahUKEwiPpL_4r5uJAxViJzQIHeCxLu8Q9QF6BAgEEA4)