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Gastritis 2 Classification Dataset

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DataCite Commons2023-10-19 更新2025-04-16 收录
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https://ieee-dataport.org/documents/gastritis-2-classification-dataset
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资源简介:
Endoscopic images of patients with AIG, type B gastritis, and CNAG were collected between January 1st, 2019 and March 1st, 2023. All endoscopic images were acquired by Olympus Evis Lucera 260/290 (Tokyo, Japan) and FUJIFILM EC-760RV/M (Tokyo, Japan). This dataset includes 3576 endoscopic images. Poor image quality, images of the pharynx, images of the esophageal region, and images of the duodenal region were excluded. The patient name, age, gender, date, and other irrelevant information for classification in the endoscopic image are cropped out and only the pure endoscopic image of the stomach is retained. The training set which accounts for 70% of the total and the validation set which accounts for 30% of the total are split by randomly shuffling the images.

本数据集采集了2019年1月1日至2023年3月1日期间,罹患急性特发性胃炎(AIG)、B型胃炎以及慢性非萎缩性胃炎(CNAG)患者的内镜图像。所有内镜图像均由日本东京的奥林巴斯Evis Lucera 260/290型内镜系统以及富士胶片EC-760RV/M型内镜采集获得。本数据集共包含3576张内镜图像。本数据集已剔除图像质量不佳、咽部、食管区域及十二指肠区域的内镜图像。已对内镜图像中包含的患者姓名、年龄、性别、拍摄日期等与分类任务无关的信息进行裁剪,仅保留纯净的胃部内镜图像。通过对图像进行随机洗牌,将数据集按总样本量的70%划分为训练集,剩余30%划分为验证集。
提供机构:
IEEE DataPort
创建时间:
2023-10-19
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