UPenn-GBM
收藏arXiv2025-09-30 收录
下载链接：
https://www.cancerimagingarchive.net/collection/upenn-gbm/
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资源简介：
该数据集名为UPENN-GBM，用于评估TUMLS方法在全切片图像中进行核分割和组织识别的性能。由于数据集中的图像含有大量噪声，因此在分析之前，需要采用去噪算法进行处理。该数据集的主要任务是核分割与组织识别。
The dataset is named UPENN-GBM, which is designed to evaluate the performance of the TUMLS method for nuclei segmentation and tissue recognition in whole-slide images. Given that the images in this dataset contain significant amounts of noise, denoising algorithms must be applied for preprocessing prior to analysis. The primary tasks of this dataset are nuclei segmentation and tissue recognition.
提供机构：
University of Pennsylvania
搜集汇总
数据集介绍
以上内容由遇见数据集搜集并总结生成
