Oct 19, 2024 · This method incorporates the preprocessing of data with prior knowledge and iterative optimisation of pseudo-labels to enhance the accuracy of tooth ...
In response to this, our paper introduces a semi-supervised approach rooted in the foundational nnU-Net structure. This method incorporates the preprocessing of ...
Oct 21, 2024 · This video segment provides knowledge and background necessary before you take this course. Read more. Last Updated: 21 Oct 2024.
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Oct 8, 2023 · Preprocessing of Prior Knowledge Before Semi-supervised Tooth Segmentation. Bing Wang, Chi Zhang, Weili Shi. Pages 46-57. A Semi-supervised ...
In response to this, our paper introduces a semi-supervised approach rooted in the foundational nnU-Net structure. This method incorporates the preprocessing of ...
Oct 19, 2024 · Preprocessing of Prior Knowledge Before Semi-supervised Tooth Segmentation. Semi-supervised Tooth Segmentation. Abstract. In the realm of ...
Weili Shi · Preprocessing of Prior Knowledge Before Semi-supervised Tooth Segmentation · Chapter. October 2024. Bing Wang. ·. Chi Zhang. ·. Weili Shi. Ad. Top ...
This book constitutes the proceedings of the First MICCAI 2023 Challenge on Semi-supervised Tooth Segmentation, STS 2023, held in Conjunction with MICCAI 2023, ...
In this study, we propose a semantic segmentation framework based on convolutional neural networks (CNNs) aimed at segmenting teeth in 2D panoramic radiographs.
A Multistage Framework for 3D Individual Tooth Segmentation in Dental CBCT. 36. Preprocessing of Prior Knowledge Before Semisupervised Tooth Segmentation. 46. A ...