Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data

Language: English

Published by Springer, Springer Mai 2025, 2025

3031889762 / 9783031889769

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This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes three challenges that were held in conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024: ToothFairy challenge(ToothFairy2: Multi-Structure Segmentation in CBCT Volumes), Semi-supervised Teeth Segmentation (STS 2024), and the 3DTeethLand (3D Teeth Landmarks Detection Challenge).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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 260 pp. Englisch.

Seller Inventory # 9783031889769

Title
Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data
Author
Yaqi Wang
Publisher
Springer, Springer Mai 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031889762
ISBN 13
9783031889769
Item weight
400 grams
Dimensions
235x155x15 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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