| 000 | nam5i | |
| 001 | 2210080935114 | |
| 003 | DE-He213 | |
| 005 | 20250321105459 | |
| 007 | cr nn 008mamaa | |
| 008 | 241018s2025 sz | s |||| 0|eng d | |
| 020 | ▼a9783031723964▼9978-3-031-72396-4 | |
| 024 | ▼a10.1007/978-3-031-72396-4▼2doi | |
| 040 | ▼a221008 | |
| 050 | ▼aQA76.76.A65 | |
| 072 | ▼aUB▼2bicssc | |
| 072 | ▼aCOM005000▼2bisacsh | |
| 072 | ▼aUX▼2thema | |
| 082 | ▼a005.3▼223 | |
| 245 | 00 | ▼aSemi-supervised Tooth Segmentation▼h[electronic resource] :▼bFirst MICCAI Challenge, SemiToothSeg 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /▼cedited by Yaqi Wang, Xiaodiao Chen, Dahong Qian, Fan Ye, Shuai Wang, Hongyuan Zhang. |
| 250 | ▼a1st ed. 2025. | |
| 264 | ▼aCham :▼bSpringer Nature Switzerland :▼bImprint: Springer,▼c2025. | |
| 300 | ▼aX, 194 p. 74 illus., 58 illus. in color.▼bonline resource. | |
| 336 | ▼atext▼btxt▼2rdacontent | |
| 337 | ▼acomputer▼bc▼2rdamedia | |
| 338 | ▼aonline resource▼bcr▼2rdacarrier | |
| 347 | ▼atext file▼bPDF▼2rda | |
| 490 | ▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v14623 | |
| 505 | ▼aConvolutional Neural Network-based Multi-scale Semantic Segmentation for Two-dimensional Panoramic X-rays of Teeth -- TB-FPN: Enhancing Tooth Segmentation with Cascade Boundary-aware FPN -- Perform Special Post-processing after Tooth Segmentation -- A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental CBCT -- Preprocessing of Prior Knowledge before Semi-Supervised Tooth Segmentation -- A Semi-Supervised Tooth Segmentation Method based on Entropy-Guided Mean Teacher and Weakly Mutual Consistency Network -- MsNet: Multi-Stage Learning from Seldom Labeled Data for 3D Tooth Segmentation in Dental Cone Beam Computed Tomography -- Diffusion-Based Conv-Former Dual-Encode U-Net: DDPM for Level Set Evolution Mapping - MICCAI STS 2023 Challenge -- Semi-Supervised 3D Tooth Segmentation Using nn-UNet with Axial Attention and Positional Correction -- Boundary Feature Fusion Network for Tooth Image Segmentation -- Self-training Based Semi-Supervised Learning and U-Net with Denoiser for Teeth Segmentation in X-ray Image -- UX-CNet: Effective Edge Information Acquisition for Teeth Image Segmentation -- 2D Teeth Segmentation Base on Half-image Approach and VCMix-Net+ -- Automated Dental CBCT Segmentation using Pseudo Labeling Method -- Prior-aware Cross Pseudo Supervision for Semi-supervised Tooth Segmentation -- High-Precision Semi-supervised 3D Dental Segmentation Based on nnUNet. | |
| 520 | ▼aThis 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. | |
| 650 | ▼aApplication software. | |
| 650 | ▼aComputer and Information Systems Applications. | |
| 700 | ▼aWang, Yaqi.▼eeditor.▼0(orcid)0000-0002-4627-3392▼1https://orcid.org/0000-0002-4627-3392▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aChen, Xiaodiao.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aQian, Dahong.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aYe, Fan.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aWang, Shuai.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 700 | ▼aZhang, Hongyuan.▼eeditor.▼0(orcid)0000-0002-0657-1862▼1https://orcid.org/0000-0002-0657-1862▼4edt▼4http://id.loc.gov/vocabulary/relators/edt | |
| 710 | ▼aSpringerLink (Online service) | |
| 773 | ▼tSpringer Nature eBook | |
| 776 | ▼iPrinted edition:▼z9783031723957 | |
| 776 | ▼iPrinted edition:▼z9783031723971 | |
| 830 | ▼aLecture Notes in Computer Science,▼x1611-3349 ;▼v14623 | |
| 856 | ▼uhttps://doi.org/10.1007/978-3-031-72396-4 | |
| 912 | ▼aZDB-2-SCS | |
| 912 | ▼aZDB-2-SXCS | |
| 912 | ▼aZDB-2-LNC | |
| 950 | ▼aComputer Science (SpringerNature-11645) | |
| 950 | ▼aComputer Science (R0) (SpringerNature-43710) |
Semi-supervised Tooth Segmentation[electronic resource] :First MICCAI Challenge, SemiToothSeg 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /edited by Yaqi Wang, Xiaodiao Chen, Dahong Qian, Fan Ye, Shuai Wang, Hongyuan Zhang
Material type
전자책
Title
Semi-supervised Tooth Segmentation[electronic resource] :First MICCAI Challenge, SemiToothSeg 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /edited by Yaqi Wang, Xiaodiao Chen, Dahong Qian, Fan Ye, Shuai Wang, Hongyuan Zhang
Author's Name
Wang Yaqi. editor Chen Xiaodiao. editor Qian Dahong. editor Ye Fan. editor Wang Shuai. editor Zhang Hongyuan. editor
판 사항
1st ed. 2025.
Physical Description
X, 194 p 74 illus, 58 illus in color online resource.
Keyword
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.
ISBN
관련 URL
Holdings Information
RReservation
MMissing Book Request
CClosed Stack Request
IInter-Campus Loan
CPriority Cataloging
PPrint
| Registration no. | Call no. | Location Mark | Location | Status | Due for return | Service |
|---|---|---|---|---|---|---|
| 전자자료는 소장사항이 존재하지 않습니다 | ||||||