grudging
发表于 2025-4-1 05:35:19
http://reply.papertrans.cn/43/4246/424585/424585_61.png
Finasteride
发表于 2025-4-1 09:28:10
http://reply.papertrans.cn/43/4246/424585/424585_62.png
Canopy
发表于 2025-4-1 10:55:36
,Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report,t model checkpoint. The final submission is an ensemble of 15 models from 3 runs. Our solution (team name NVAUTO) achieves the 1st place on the HECKTOR22 challenge leaderboard with an aggregated dice score of 0.78802 (..). It is implemented with Auto3DSeg (..).
多嘴多舌
发表于 2025-4-1 18:13:10
http://reply.papertrans.cn/43/4246/424585/424585_64.png
Melanoma
发表于 2025-4-1 20:10:51
0302-9743 urrent state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 883 delineated PET/CT images was made available for training. .978-3-031-27419-0978-3-031-27420-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
减至最低
发表于 2025-4-1 23:22:55
,Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Ou a total of 883 cases consisting of FDG-PET/CT images and clinical information, split into 524 training and 359 test cases. The best methods obtained an aggregated Dice Similarity Coefficient (.) of 0.788 in Task 1, and a Concordance index (C-index) of 0.682 in Task 2.
ENACT
发表于 2025-4-2 05:56:40
,A Coarse-to-Fine Ensembling Framework for Head and Neck Tumor and Lymph Segmentation in CT and PET metastatic lymph nodes, where we proposed a ensembling refinement model. This framework is evaluated quantitatively with aggregated Dice Similarity Coefficient (DSC) of 0.77782 in the task 1 of the HECKTOR 2022 challenge[., .] as team SJTU426.
FLOUR
发表于 2025-4-2 09:04:44
,A Fine-Tuned 3D U-Net for Primary Tumor and Affected Lymph Nodes Segmentation in Fused Multimodal Int binary segmentation models are chosen, one for the primary tumor and one for the lymph nodes. During testing, majority voting is applied. Our results show promising performance on the training and validation cohorts, while moderate performance was observed in the test cohort.