Gastric Cancer Histopathology Tissue Image Dataset (GCHTID)

This dataset represents a collection of tissue types in histological images of human gastric cancer, containing 31,096 non-overlapping images of 224x224 pixels each, extracted from H&E-stained pathological slides at Harbin Medical University Cancer Hospital. The dataset was generated by predicting tissue components in gastric cancer using annotations from a publicly available colorectal cancer dataset to create tissue heatmaps. Professional pathologists then selected 300 whole slide images with high prediction accuracy. Finally, a substantial number of images, each belonging to one of eight tissue categories (Adipose (ADI), Background (BACK), Debris (DEB), Lymphocytes (LYM), Mucus (MUC), Smooth Muscle (MUS), Normal Colon Mucosa (NORM), Cancer-associated Stroma (STR), Tumor (TUM)), were extracted from these slides.本数据集为人类胃癌组织学图像中的各类组织集合，包含31096张尺寸为224×224像素的非重叠图像，这些图像采自哈尔滨医科大学肿瘤医院的苏木精-伊红（Hematoxylin-Eosin, H&E）染色病理切片。本数据集借助公开可用的结直肠癌数据集的标注信息预测胃癌组织成分，生成组织热图后构建而成。随后，专业病理学家筛选出300张预测准确率较高的全切片图像。最终，从上述切片中提取了大量图像，每张图像均属于以下8类组织类别之一：脂肪组织（Adipose, ADI）、背景区域（Background, BACK）、碎屑（Debris, DEB）、淋巴细胞（Lymphocytes, LYM）、黏液（Mucus, MUC）、平滑肌（Smooth Muscle, MUS）、正常结肠黏膜（Normal Colon Mucosa, NORM）、癌相关间质（Cancer-associated Stroma, STR）以及肿瘤组织（Tumor, TUM）。