医用画像AI開発支援ソフトウェアを用いた歯科用CBCT画像における下顎管のセグメンテーション
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| Published in | 歯科放射線 Vol. 64; no. 1; pp. 11 - 19 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
特定非営利活動法人 日本歯科放射線学会
2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0389-9705 2185-6311 |
| DOI | 10.11242/dentalradiology.64.11 |
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| Author | 西村, 良太 誉田, 栄一 鳥井, 浩平 |
|---|---|
| Author_xml | – sequence: 1 fullname: 誉田, 栄一 organization: こばやし歯科クリニック – sequence: 1 fullname: 鳥井, 浩平 organization: 徳島大学デザイン型AI教育研究センター – sequence: 1 fullname: 西村, 良太 organization: 徳島大学大学院社会産業理工学研究部情報工学分野 |
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| Copyright | 2024 特定非営利活動法人 日本歯科放射線学会 |
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| References | 10. Kingma D, Ba J. Adam: A Method for Stochastic Optimization. The International Conference on Learning Representations. 2015. 4. Aljabri M, AlAmir M, AlGhamdi M, Abdel-Mottaleb M, Collado-Mesa F. Towards a better understanding of annotation tools for medical imaging: a survey. Multimedia Tools and Applications. 2022；81：25877-25911. 5. 鳥井浩平，誉田栄一，北 研二．AIを用いたパノラマX線画像からのカルテ入力支援システムの開発．歯科放射線．2022；62：24-34. 15. Edstedt J, Athanasiadis I, Wadenbäck M, Felsberg M. DKM: Dense Kernelized Feature Matching for Geometry Estimation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023；1：17765-17775. 3. Ziegler E, Urban T, Brown D, Petts J, Pieper S, Lewis R, Hafey C, Harris G. Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research. JCO Clinical Cancer Informatics. 2020；4：336-345. 12. Ramer U. An iterative procedure for the polygonal approximation of plane curves. Computer Graphics and Image Processing. 1972；1（3）：244-256. 13. Douglas D, Peucker T. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. The Canadian Cartographer. 1973；10：112-122. 14. Sun J, Shen Z, Wang Y, Bao H, Zhou X. LoFTR: Detector-Free Local Feature Matching with Transformers. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021；8922-8931. 2. Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller J, Pieper S, Kikinis R. 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network. Magnetic Resonance Imaging. 2012；30：1323-1341. 8. Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation. Proceedings of Medical Image Computing and Computer-Assisted Intervention. 2015；3：234-241. 6. Bradski G. The opencv library. Dr. Dobb’s Journal: Software Tools for the Professional Programmer. 2000；25（11）：120-123. 7. Mason DL. pydicom: An open source DICOM library ［Computer software］. 2018. https://github.com/pydicom/pydicom 9. Ioffe S, Szegedy C. Batch normalization: Accelerating deep network training by reducing internal covariate shift. International conference on machine learning. 2015；448-456. 11. Suzuki S, Abe K. Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing. 1985；30：32-46. 1. Wada K. Labelme: Image Polygonal Annotation with Python ［Computer software］. 2016. https://doi.org/10.5281/zenodo.5711226 |
| References_xml | – reference: 2. Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J, Pujol S, Bauer C, Jennings D, Fennessy F, Sonka M, Buatti J, Aylward S, Miller J, Pieper S, Kikinis R. 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network. Magnetic Resonance Imaging. 2012；30：1323-1341. – reference: 12. Ramer U. An iterative procedure for the polygonal approximation of plane curves. Computer Graphics and Image Processing. 1972；1（3）：244-256. – reference: 6. Bradski G. The opencv library. Dr. Dobb’s Journal: Software Tools for the Professional Programmer. 2000；25（11）：120-123. – reference: 9. Ioffe S, Szegedy C. Batch normalization: Accelerating deep network training by reducing internal covariate shift. International conference on machine learning. 2015；448-456. – reference: 3. Ziegler E, Urban T, Brown D, Petts J, Pieper S, Lewis R, Hafey C, Harris G. Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research. JCO Clinical Cancer Informatics. 2020；4：336-345. – reference: 10. Kingma D, Ba J. Adam: A Method for Stochastic Optimization. The International Conference on Learning Representations. 2015. – reference: 15. Edstedt J, Athanasiadis I, Wadenbäck M, Felsberg M. DKM: Dense Kernelized Feature Matching for Geometry Estimation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023；1：17765-17775. – reference: 8. Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation. Proceedings of Medical Image Computing and Computer-Assisted Intervention. 2015；3：234-241. – reference: 4. Aljabri M, AlAmir M, AlGhamdi M, Abdel-Mottaleb M, Collado-Mesa F. Towards a better understanding of annotation tools for medical imaging: a survey. Multimedia Tools and Applications. 2022；81：25877-25911. – reference: 13. Douglas D, Peucker T. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. The Canadian Cartographer. 1973；10：112-122. – reference: 14. Sun J, Shen Z, Wang Y, Bao H, Zhou X. LoFTR: Detector-Free Local Feature Matching with Transformers. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021；8922-8931. – reference: 7. Mason DL. pydicom: An open source DICOM library ［Computer software］. 2018. https://github.com/pydicom/pydicom – reference: 1. Wada K. Labelme: Image Polygonal Annotation with Python ［Computer software］. 2016. https://doi.org/10.5281/zenodo.5711226 – reference: 11. Suzuki S, Abe K. Topological structural analysis of digitized binary images by border following. Computer Vision, Graphics, and Image Processing. 1985；30：32-46. – reference: 5. 鳥井浩平，誉田栄一，北 研二．AIを用いたパノラマX線画像からのカルテ入力支援システムの開発．歯科放射線．2022；62：24-34. |
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| SubjectTerms | CBCT セグメンテーション 下顎管 人工知能 医用画像 |
| Title | 医用画像AI開発支援ソフトウェアを用いた歯科用CBCT画像における下顎管のセグメンテーション |
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