| 1 |
Trainable WEKA (Waikato Environment for Knowledge Analysis) Segmentation Tool: Machine-Learning-Enabled Segmentation on Features of Panoramic Radiographs |
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| | Nitin Kanuri, Ahmed Z Abdelkarim, Sonali A Rathore | | | Cureus. 2022; | | | [Pubmed] [Google Scholar] [DOI] | | | 2 |
Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation |
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| | Minyoung Chung,Minkyung Lee,Jioh Hong,Sanguk Park,Jusang Lee,Jingyu Lee,Il-Hyung Yang,Jeongjin Lee,Yeong-Gil Shin | | | Computers in Biology and Medicine. 2020; 120: 103720 | | | [Pubmed] [Google Scholar] [DOI] | | | 3 |
Automatic tooth roots segmentation of cone beam computed tomography image sequences using U-net and RNN |
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| | Qingqing Li,Ke Chen,Lin Han,Yan Zhuang,Jingtao Li,Jiangli Lin | | | Journal of X-Ray Science and Technology. 2020; 28(5): 905 | | | [Pubmed] [Google Scholar] [DOI] | |
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