Rib Segmentation and Sequence Labeling via Biaxial Slicing and 3D Reconstruction
Author:
Affiliation:
1. College of Computing and Informatics, Sungkyunkwan University,Suwon,Korea
2. Sungkyunkwan University,Dept. of AI System Engineering,Suwon,Korea
3. Sungkyun AI Research Institute, Sungkyunkwan University,Suwon,Korea
Funder
IITP
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10418251/10418242/10418333.pdf?arnumber=10418333
Reference8 articles.
1. Missed rib fractures on evaluation of initial chest CT for trauma patients: pattern analysis and diagnostic value of coronal multiplanar reconstruction images with multidetector row CT
2. Segmentation of bone structures with the use of deep learning techniques
3. Development and Evaluation of a Deep Learning Algorithm for Rib Segmentation and Fracture Detection from Multicenter Chest CT Images
4. The Development of an Automatic Rib Sequence Labeling System on Axial Computed Tomography Images with 3-Dimensional Region Growing
5. U-Net: Convolutional Networks for Biomedical Image Segmentation
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1. Research on Three-Dimensional Reconstruction of Ribs Based on Point Cloud Adaptive Smoothing Denoising;Sensors;2024-06-23
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