A novel difficult-to-segment samples focusing network for oral CBCT image segmentation

A novel difficult-to-segment samples focusing network for oral CBCT image segmentation

Abstract Using deep learning technology to segment oral CBCT images for clinical diagnosis and treatment is one of the important research directions in the field of clinical dentistry. However, the blurred contour and the scale difference limit the segmentation accuracy of the crown edge and the roo...

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Bibliographic Details
Main Authors: Fengjun Hu, Zeyu Chen, Fan Wu
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Deep learning
Images segmentation
Medical image processing
Convolutional neural networks
Online Access:https://doi.org/10.1038/s41598-024-55522-7

Internet

https://doi.org/10.1038/s41598-024-55522-7

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