Wang yaqi (57 résultats)

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Etat : New. 2024th edition NO-PA16APR2015-KAP.

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Paperback. Etat : Brand New. 204 pages. 9.25x6.10x9.21 inches. In Stock.

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Paperback. Etat : new. Paperback. This book contains papers from the First International Workshop on Oral and Dental Image Analysis, ODIN 2025, the ToothFairy3: Fast Multi-class Segmentation in CBCT Volumes Challenge, and the Semi-supervised Teeth Segmentation and Registration, STSR 2025 Challenge, which took place in conjunction with MICCAI 2025 in Daejeon, South Korea, during September 2025.ODIN 2025 received 13 submissions, out of which 9 papers were accepted for publication; ToothFairy3 had 18 final submissions, of which 6 were accepted for publication; and for STSR 2025, 5 papers are included from 78 teams registered in the segmentation task and 52 teams in the registration task. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the First MICCAI 2023 Challenge on Semi-supervisedTooth 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.…

Paperback. Etat : Brand New. 303 pages. 9.25x6.10x0.71 inches. In Stock.

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains papers from the First International Workshop on Oral and Dental Image Analysis, ODIN 2025, the ToothFairy3: Fast Multi-class Segmentation in CBCT Volumes Challenge, and the Semi-supervised Teeth Segmentation and Registration, STSR 2025 Challenge, which took place in conjunction with MICCAI 2025 in Daejeon, South Korea, during September 2025.ODIN 2025 received 13 submissions, out of which 9 papers were accepted for publication; ToothFairy3 had 18 final submissions, of which 6 were accepted for publication; and for STSR 2025, 5 papers are included from 78 teams registered in the segmentation task and 52 teams in the registration task.…

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Taschenbuch. Etat : Neu. Semi-supervised Tooth Segmentation | First MICCAI Challenge, SemiToothSeg 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings | Yaqi Wang (u. a.) | Taschenbuch | Lecture Notes in Computer Science | x | Englisch | 2024 | Springer | EAN 9783031723957 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Etat : Neu. Oral and Dental Image Analysis | First International Workshop, ODIN 2025, and MICCAI Challenges, ToothFairy 2025 and STSR 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings | Federico Bolelli (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvii | Englisch | 2026 | Springer | EAN 9783032207104 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. …