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Semi-supervised Tooth Segmentation

First MICCAI Challenge, SemiToothSeg 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

  • Conference proceedings
  • © 2025

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14623)

Included in the following conference series:

Conference proceedings info: STS 2023.

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About this book

This book constitutes the proceedings of the First MICCAI 2023 Challenge on Semi-supervised
Tooth Segmentation, SemiToothSeg 2023, held in Conjunction with MICCAI 2023, in Vancouver, BC, Canada, on October 8, 2023.

The 16 full papers presented in this book were carefully reviewed and selected from 64 submissions. The papers were written by participants in the STS challenge to describe their solutions for automatic teeth segmentation using the offcial training dataset released for this purpose.

In general, this challenge aims to promote the development of the teeth segmentation in panoramic X-ray images and dental CBCT scans.

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Keywords

Table of contents (16 papers)

Other volumes

  1. Semi-supervised Tooth Segmentation

Editors and Affiliations

  • Communication University of Zhejiang, Hangzhou, China

    Yaqi Wang

  • Hangzhou Dianzi University, Hangzhou, China

    Xiaodiao Chen, Fan Ye

  • Shanghai Jiao Tong University, Shanghai, China

    Dahong Qian

  • Sichuan University, Chengdu, China

    Shuai Wang

  • Shenzhen University, Shenzhen, China

    Hongyuan Zhang

Bibliographic Information

  • Book Title: Semi-supervised Tooth Segmentation

  • Book Subtitle: First MICCAI Challenge, SemiToothSeg 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

  • Editors: Yaqi Wang, Xiaodiao Chen, Dahong Qian, Fan Ye, Shuai Wang, Hongyuan Zhang

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-72396-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Softcover ISBN: 978-3-031-72395-7Published: 19 October 2024

  • eBook ISBN: 978-3-031-72396-4Published: 18 October 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 194

  • Number of Illustrations: 16 b/w illustrations, 58 illustrations in colour

  • Topics: Computer Applications

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