MFreidank/glenda
GLENDA (Gynecologic Laparoscopy Endometriosis Dataset) comprises over 350 annotated images of endometriosis lesions from more than 100 gynecologic laparoscopic surgeries, plus over 13,000 unannotated non‑pathological images from more than 20 surgeries. It is designed for automated content analysis, particularly for endometriosis detection. The dataset offers binary and multi‑class classification configurations, each with detailed feature descriptions and split information. Annotations were produced by medical experts specializing in endometriosis treatment. Use is restricted to scientific research and prohibited for commercial purposes.
Dataset description and usage context
数据集概述
名称: GLENDA - The ITEC Gynecologic Laparoscopy Endometriosis Dataset
语言: 英语（en）
许可证: CC BY-NC 4.0
多语言性: 单语种
大小: 10K<n<100K
任务类别: 图像分类
数据集结构
配置名称
- binary_classification
- multiclass_classification
特征
- 图像: 数据类型为图像
- 元数据: 结构包括id, width, height, file_name, path, flickr_url, coco_url, date_captured, case_id, video_id, frame_id, from_seconds, to_seconds
- 标签: 数据类型为类标签，binary_classification包含no_pathology和endometriosis两个类别，multiclass_classification包含No-Pathology, 6.1.1.1_Endo-Peritoneum, 6.1.1.2_Endo-Ovar, 6.1.1.3_Endo-TIE, 6.1.1.4_Endo-Uterus五个类别
数据分割
- 训练集: 大小为4524957字节，包含13811个样本
下载与数据集大小
- 下载大小: 895554144字节
- 数据集大小: 4524957字节
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