Exploring ImFusion Suite: CT Module Feature Highlights
This video showcases some of our updated technology building blocks for Computed Tomography, where we provide support for curved detectors, metal artifact reduction, deep learning integration, and geometric self-calibration.
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The dataset was taken from the VerSe2020 dataset:
1. Löffler M, Sekuboyina A, Jakob A, Grau AL, Scharr A, Husseini ME, Herbell M, Zimmer C, Baum T, Kirschke JS. A Vertebral Segmentation Dataset with Fracture Grading. Radiology: Artificial Intelligence, 2020 https://doi.org/10.1148/ryai.202019013
2. Liebl H, Schinz D, Sekuboyina A, ..., Kirschke JS. A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data Sci Data. 2021 Oct 28;8(1):284. doi: 10.1038/s41597-021-01060-0.
3. Sekuboyina A, Bayat AH, Husseini ME, Löffler M, Menze BM, ..., Kirschke JS. VerSe: A Vertebrae labeling and segmentation benchmark for multi-detector CT images. Med Image Anal. 2021 Oct;73:102166. doi: 10.1016/j.media.2021.102166. Epub 2021 Jul 22. Preliminary access at https://arxiv.org/abs/2001.09193
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