Unstained and H&E stained whole slide image pairs of anterior prostate tissue
收藏DataCite Commons2022-10-22 更新2025-04-16 收录
下载链接:
https://etsin.fairdata.fi/dataset/4be10dd9-b0f8-401a-a74b-7dfe154d0b38
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资源简介:
The data set consists of 81 registered whole slide image pairs, a pair represents unstained and H&E stained images of the same tissue sample. In addition to that, it also contains a tissue mask for each whole slide image pair. The samples are used for studying the histological feasibility of AI-driven virtual histopathology staining. Imaging was performed using Thunder Imager 3D Tissue slide scanner (Leica Microsystems, Wetzlar, Germany) equipped with DMC2900 camera and HC PL APO 40x/0.95 DRY objective with an isotropic pixel resolution of 0.353 µm.
本数据集包含81组配准后的全切片图像(whole slide image)对,每组图像对对应同一份组织样本的未染色图像与苏木精-伊红(H&E)染色图像。此外,该数据集还为每一组全切片图像对提供了组织掩膜(tissue mask)。本样本集用于研究人工智能驱动的虚拟组织病理学染色的组织学可行性。成像工作由搭载DMC2900相机及HC PL APO 40x/0.95 DRY物镜的Thunder Imager 3D Tissue slide scanner(徕卡显微系统公司,德国韦茨拉尔)完成,其各向同性像素分辨率为0.353微米。
提供机构:
Advancing Breast Cancer histopathology towards AI-based Personalised medicine (ABCAP)
创建时间:
2022-10-22
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含81个配对的未染色和H&E染色前列腺组织全切片图像,每个配对来自同一组织样本并附带组织掩膜,用于支持AI驱动的虚拟组织病理学染色研究。成像使用高分辨率显微镜,像素分辨率为0.353 µm,数据开放访问,适用于计算机科学和生物医学领域的深度学习应用。
以上内容由遇见数据集搜集并总结生成



