rectum 发表于 2025-3-23 13:13:24

Molecular Mechanisms in “Stunned” Myocardium vertebrae between T4 and L4 were detected and, of these, 97% were segmented with a mean error of less than or equal to .. A simple classifier was applied to perform a fracture/non-fracture classification for each image, achieving 69% recall at 70% precision.

Epidural-Space 发表于 2025-3-23 14:41:10

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镶嵌细工 发表于 2025-3-23 20:51:38

Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting vertebrae between T4 and L4 were detected and, of these, 97% were segmented with a mean error of less than or equal to .. A simple classifier was applied to perform a fracture/non-fracture classification for each image, achieving 69% recall at 70% precision.

POLYP 发表于 2025-3-24 01:44:38

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有权 发表于 2025-3-24 03:08:11

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headlong 发表于 2025-3-24 07:49:52

Global Localization and Orientation of the Cervical Spine in X-ray Imagesased voting accumulation method to localize the spinal column and to detect the orientation. The algorithm has been evaluated with 90 emergency room X-ray images and has achieved an average detection accuracy of 91% and an orientation error of 3.6.. The framework can be used to narrow the search area for other advanced injury detection systems.

incite 发表于 2025-3-24 13:38:13

Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Imageatasets, our method achieved a mean localization distance of 0.64 mm and a mean Dice overlap coefficient of 90.8%. The results show that our method is robust and comparable with state-of-the-art methods.

incubus 发表于 2025-3-24 17:20:27

Was ist die Biografie eines Menschen?ic classifier. We evaluated the proposed methods on 143 spinal images from two datasets acquired at different sites. We achieved a segmentation recall of 0.9 and precision 0.91 for the better dataset, and a recall and precision of 0.87 and 0.81 for the combined dataset, demonstrating the potential of the framework.

使苦恼 发表于 2025-3-24 19:17:07

https://doi.org/10.1007/978-3-319-63751-8ased voting accumulation method to localize the spinal column and to detect the orientation. The algorithm has been evaluated with 90 emergency room X-ray images and has achieved an average detection accuracy of 91% and an orientation error of 3.6.. The framework can be used to narrow the search area for other advanced injury detection systems.

gout109 发表于 2025-3-25 01:08:27

Vadim J. Birstein,William E. Bemisatasets, our method achieved a mean localization distance of 0.64 mm and a mean Dice overlap coefficient of 90.8%. The results show that our method is robust and comparable with state-of-the-art methods.
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查看完整版本: Titlebook: Computational Methods and Clinical Applications for Spine Imaging; 4th International Wo Jianhua Yao,Tomaž Vrtovec,Shuo Li Conference procee