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Apr, 2024
T-Mamba: 提升频率的门控长距依赖网络用于牙齿3D CBCT分割
T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation
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Jing Hao, Lei He, Kuo Feng Hung
TL;DR
T-Mamba是第一个将基于频率特征与视觉mamba相结合的方法,在处理牙齿三维成像中的分割问题上取得了最佳结果。
Abstract
Efficient
tooth segmentation
in three-dimensional (3D) imaging, critical for orthodontic diagnosis, remains challenging due to noise, low contrast, and artifacts in CBCT images. Both
convolutional neural networks
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