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Virtual H&E Staining Dataset
Virtual H&E Staining Dataset used in the paper: Preserving Spatial and Quantitative Information in Unpaired Biomedical Image-to-Image Translation
DataCite Commons2025-06-01 更新360
STimage dataset with BreastCancer_Xenium and SkinVisium files
This dataset contains the diverse spatial transcriptomics (ST), proteomics, and clinical datasets used to develop and validate STimage, a comprehensive deep learning suite for predicting gene expressi
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Improving the annotation process in computational pathology: from manual to semi-automatic approaches in digital nephropathology
The development of reliable artificial intelligence (AI) algorithms in pathology depends on solid ground truth provided by meticulous annotation of whole slide images (WSI), a time-consuming and opera
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CRC-HGD
CRC-HGD是由伊斯法罕医科大学普尔西纳·哈基姆研究中心创建的结直肠癌组织病理学图像数据集，专门用于腺癌分级研究。该数据集包含1914张RGB格式的JPEG图像，分辨率为800×800像素，涵盖214名患者（I级106例、II级75例、III级33例）的H&E染色组织切片，每例样本提供4倍、10倍、20倍和40倍四种放大倍率。数据来源于2014年至2019年间经病理诊断的存档标本，严格遵循世界卫
arXiv2026-07-14 更新270
