Yaqi Wang – författare
Semi-supervised Tooth Segmentation
First MICCAI Challenge, SemiToothSeg 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
617 kr
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815 kr
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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.
Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data
MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024, and STS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
1 560 kr
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1 947 kr
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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.
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
828 kr
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1 059 kr
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1 946 kr
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2 524 kr
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This book systematically introduces the basic principles and technologies of Faraday lasers, starting from the development history and trends of diode lasers. High-precision frequency-stabilized diode lasers are essential instruments for frontier scientific research. They are the core components in the booming fields of quantum precision measurement, time-frequency communication, and atomic physics, and are of great significance to economic development and security construction. It elaborates on the significant advantages of Faraday lasers, based on the Faraday atomic optical filter, including their ability to automatically align with atomic transition lines during startup and their resistance to temperature and current disturbances. Additionally, the book covers the practical applications and significant value of Faraday lasers in devices such as cesium atomic clocks, atomic gravimeters, and underwater optical communication systems. It also explores the future development trends of Faraday lasers. This book is suitable for researchers and engineers in the field of frequency-stabilized diode lasers, and can also be used as a textbook for advanced undergraduate and graduate courses in quantum precision measurement, precision spectroscopy, and related fields.
The basis of English translation of this book, originally in Chinese, was facilitated by artificial intelligence. The content was later revised by the authors for accuracy.
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