國立高雄大學圖資館 |

登入

回首頁

Semi-supervised tooth segmentationfirst MICCAI Challenge, SemiToothSeg 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Semi-supervised tooth segmentationedited by Yaqi Wang ... [et al.].
其他題名:	first MICCAI Challenge, SemiToothSeg 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /
其他題名:	SemiToothSeg 2023
其他作者:	Wang, Yaqi.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	x, 194 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	TeethCongresses.Radiography
電子資源:	https://doi.org/10.1007/978-3-031-72396-4
ISBN:	9783031723964$q(electronic bk.)

Semi-supervised tooth segmentationfirst MICCAI Challenge, SemiToothSeg 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /
Semi-supervised tooth segmentationfirst MICCAI Challenge, SemiToothSeg 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /[electronic resource] :SemiToothSeg 2023edited by Yaqi Wang ... [et al.]. - Cham :Springer Nature Switzerland :2025. - x, 194 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,146231611-3349 ;. - Lecture notes in computer science ;4891..

Convolutional 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.

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: 9783031723964$q(electronic bk.)

Standard No.: 10.1007/978-3-031-72396-4doiSubjects--Topical Terms:

991986
Teeth
--Radiography--Congresses.

LC Class. No.: RK309

Dewey Class. No.: 617.607572

Semi-supervised tooth segmentationfirst MICCAI Challenge, SemiToothSeg 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings /
LDR:03274nmm a2200361 a 4500 001 678588
003 DE-He213
005 20241018125733.0
006 m d
007 cr nn 008maaau
008 251031s2025 sz s 0 eng d
020 $a 9783031723964$q(electronic bk.)
020 $a 9783031723957$q(paper)
024 7 $a 10.1007/978-3-031-72396-4 $2 doi
035 $a 978-3-031-72396-4
040 $a GP $c GP
041 0 $a eng
050 4 $a RK309
072 7 $a UB $2 bicssc
072 7 $a COM005000 $2 bisacsh
072 7 $a UX $2 thema
082 0 4 $a 617.607572 $2 23
090 $a RK309 $b .S471 2023
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Semi-supervised tooth segmentation $h [electronic resource] : $b first MICCAI Challenge, SemiToothSeg 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings / $c edited by Yaqi Wang ... [et al.].
246 3 $a SemiToothSeg 2023
246 3 $a MICCAI 2023
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a x, 194 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 14623
505 0 $a Convolutional 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 $a 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.
650 0 $a Teeth $x Radiography $v Congresses. $3 991986
650 1 4 $a Computer and Information Systems Applications. $3 913125
700 1 $a Wang, Yaqi. $3 991077
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u https://doi.org/10.1007/978-3-031-72396-4
950 $a Computer Science (SpringerNature-11645)