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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, Proceedi by Yaqi Wang, Dahong Qian, Shuai Wang, Achraf Ben-Hamadou, Sergi Pujades
- 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, Proceedi
- Yaqi Wang, Dahong Qian, Shuai Wang, Achraf Ben-Hamadou, Sergi Pujades
- Page: 242
- Format: pdf, ePub, mobi, fb2
- ISBN: 9783031889769
- Publisher: Springer Nature Switzerland
Download free books for iphone 5 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, Proceedi
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.
Supervised and Semi-supervised Multi-structure Segmentation and .
The MICCAI 2024 Challenges ToothFairy, 3DTeethLand, STS, deal with multi-structure segmentation and landmark detection in dental data.
Supervised and Semi-supervised Multi-structure Segmentation and .
The proceedings of our challenge are published as a joint LNCS volume alongside the Semi-supervised Teeth Segmentation challenge (STS) and the 3D Teeth.
Miccai Challenges 2024 Toothfairy, 3dteethland, Sts – Lncs - eBay
The 3DTeethLand24 Challenge played a key role in advancing automation and leveraging AI to optimize orthodontic treatments. It also aims to tackle the challenge .
Supervised and Semi-supervised Multi-structure Segmentation and .
The STS Challenge promoted the development of teeth segmentation in panoramic X-ray images and CBCT scans. It also provided instance annotations .
Details for: Supervised and Semi-supervised Multi-structure .
Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data : MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand .
Supervised and Semi-supervised Multi-structure Segmentation and .
The MICCAI STS 2024 Challenge Task 2 aims to enhance automated tooth segmentation by providing a dataset comprising both labeled and unlabeled CBCT images. This .
Supervised and Semi-supervised Multi-structure Segmentation and .
Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data: MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024, .
Supervised and Semi-supervised Multi-structure Segmentation and .
The 3DTeethLand24 Challenge played a key role in advancing automation and leveraging AI to optimize orthodontic treatments. It also aims to tackle the challenge .
ToothFairy, 3DTeethLand, and STS Challenges - MICCAI 2024
The three challenges will organize a joint event called “Supervised and Semi-supervised Multi-Structure Segmentation and Landmark Detection in Dental Data”
Supervised and Semi-supervised Multi-structure Segmentation and .
Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data. MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024 .
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