no code implementations • 2 Feb 2021 • Jusang Lee, Minyoung Chung, Minkyung Lee, Yeong-Gil Shin
The primary significance of the proposed method is two-fold: 1) the introduction of a point-based tooth detection framework that does not require additional classification and 2) the design of a novel loss function that effectively separates Gaussian distributions based on heatmap responses in the point-based detection framework.
no code implementations • 12 Apr 2020 • Minyoung Chung, Jusang Lee, Sanguk Park, Minkyung Lee, Chae Eun Lee, Jeongjin Lee, Yeong-Gil Shin
The accuracy of identification achieved a precision of 0. 997 and recall value of 0. 972.
no code implementations • 6 Feb 2020 • Minyoung Chung, Minkyung Lee, Jioh Hong, Sanguk Park, Jusang Lee, Jingyu Lee, Jeongjin Lee, Yeong-Gil Shin
The primary significance of the proposed method is two-fold: 1) an introduction of pose-aware VOI realignment followed by a robust tooth detection and 2) a metal-robust CNN framework for accurate tooth segmentation.