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Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data
By Yaqi Wang
Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data
By Yaqi Wang
0 - Default Title
Description
The 21 papers presented in this volume were carefully reviewed and selected from 28 submissions. ToothFairy challenges focused on the development of deep learning frameworks to segment anatomical structures in CBCTs by incrementally extending the amount of publicly available 3D-annotated CBCT scans and providing the first publicly available fully annotated datasets. The STS Challenge promoted the development of teeth segmentation in panoramic X-ray images and CBCT scans. It also provided instance annotations for different teeth, including pertinent category information. The 3DTeethLand24 Challenge played a key role in advancing automation and leveraging AI to optimize orthodontic treatments. It also aims to tackle the challenge of limited access to data, providing a valuable resource that encourages community engagement in this vital area with potential clinical implications.
Product details
Binding:
Paperback
Number of Pages:
260
Release Date:
2025-05-17
Publication Date:
2025-05-17
Publisher:
Springer
Languages:
Original:
English
ISBN10:
3031889762
ISBN13:
9783031889769
GPSR Manufacturer Reference:
Weight:
400 g
Height:
155 cm
Width:
235 cm
Thickness:
15 cm
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