Cross-Modality Domain Adaptation (crossMoDA) challenge dataset
收藏arXiv2022-12-14 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2201.02831v3
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资源简介：
用于无监督跨模态分割的基准数据集，旨在分割涉及前庭神经鞘瘤（VS）随访和治疗规划的两个关键脑结构：VS和耳蜗。训练集包含标注的ceT1（N=105）和未配对未标注的hrT2（N=105），测试集用于自动执行hrT2上的单侧VS和双侧耳蜗分割（N=137）。
A benchmark dataset for unsupervised cross-modal segmentation, which targets segmenting two critical brain structures involved in vestibular schwannoma (VS) follow-up and treatment planning: VS and the cochlea. The training set contains annotated ceT1 scans (N=105) and unpaired unannotated hrT2 scans (N=105). The test set (N=137) is designed for automated unilateral VS and bilateral cochlea segmentation on hrT2 images.
创建时间：
2022-01-08
