Multi-Institutional Lymphoma Lesion Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/microsoft/lymphoma-segmentation-dnn
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资源简介：
该数据集包含了611个案例，用于训练、验证和测试神经网络架构，以便从PET/CT图像中分割淋巴瘤病变。此外，数据集还包含了88个内部测试案例和145个外部测试案例，涵盖了不同神经网络架构在不同性能指标上的评估。规模上，数据集共有611个案例，任务是对淋巴瘤病变进行分割和检测。
This dataset comprises 611 cases intended for training, validation, and testing neural network architectures for lymphoma lesion segmentation from PET/CT images. Additionally, the dataset includes 88 internal test cases and 145 external test cases, covering the evaluation of diverse neural network architectures across various performance metrics. In terms of scale, the dataset contains a total of 611 cases, with the core task focusing on lymphoma lesion segmentation and detection.
