相关数据集
宫腔镜图像良恶性病变数据集
数据收集于2023年8月至2024年1月，首都医科大学附属北京朝阳医院妇产科共收集了175名患者的175段视频。所有图像均使用内窥镜相机系统拍摄，并以MP4格式存储，从视频中提取图像。最后，共收集了3385张8种宫腔病变类型的图像。数据的整理，标注和发布由江苏济远医疗科技有限公司和首都医科大学附属北京朝阳医院共同完成。 本研究经首都医科大学附属北京朝阳医院医学伦理委员会批准（2023-S-454）
OpenXLab20
Images extracted from hysteroscopy videos per each disease category.
Images extracted from hysteroscopy videos per each disease category.
Figshare2021-03-31 更新00
Images extracted from hysteroscopy videos per each disease category.
Images extracted from hysteroscopy videos per each disease category.
NIAID Data Ecosystem50
Visualized hysteroscopic artificial intelligence fertility assessment system for endometrial injury: an image-deep-learning study
Asherman’s syndrome (AS) is a significant cause of subfertility in women from developing countries. Over 80% of AS cases in these regions are linked to dilation and curettage (D&C) procedures followin
Figshare2025-03-18 更新10
