MICCAI Challenges 2024 (ToothFairy, 3DTeethLand, STS) – LNCS: MICCAI 2024 Challenges: ToothFairy 2024,...

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Yaqi Wang Dahong Qian

MICCAI Challenges 2024 (ToothFairy, 3DTeethLand, STS) – LNCS

MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024, and STS 2024, Held in Conjunction...

Yaqi Wang, Dahong Qian, Shuai Wang , Achraf Ben-Hamadou

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English

Springer International Publishing AG
02 June 2025

Computing: general; Machine learning; Image processing

Series: Lecture Notes in Computer Science

Summary
Details

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.

Edited by: Yaqi Wang, Dahong Qian, Shuai Wang, Achraf Ben-Hamadou, Sergi Pujades
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Volume: 15571
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031889769
ISBN 10: 3031889762
Series: Lecture Notes in Computer Science
Pages: 254
Publication Date: 02 June 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active