Detecting Mycobacterium tuberculosis Bacilli from TB Smear Images

This dataset is a subset of tuberculosis smear images that Wellgen Medical collected from across Asia to train and validate its smear microscopy automated system. The slides are digitized using a microscopic scanner (Wellgen Medical M-Scan Microscope Advance, a USFDA listing device) and subdivided into images with a resolution of 2448x2048. All positive smear images in the dataset come from sputum slides with culture-proven tuberculosis. Some images are generated from a single slide; not all contain TB bacilli. Only the images with TB bacilli are included in the dataset with the positive label. These bacilli are identified with Wellgen Medical’s AI algorithm and then double-checked by two licensed medical technicians. For more information, please contact [e-mail]本数据集为Wellgen Medical从亚洲各地采集的结核涂片图像子集，用于该公司训练与验证其涂片显微镜自动检测系统。所有玻片均通过显微扫描仪（Wellgen Medical M-Scan Microscope Advance，美国FDA上市设备）完成数字化，并被分割为分辨率2448×2048的图像。数据集内所有阳性涂片图像均来自经培养证实为结核病的痰液玻片。部分图像由单张玻片生成，并非所有图像均含有结核杆菌（TB bacilli）。仅含结核杆菌的图像会被纳入本数据集并标注为阳性样本。上述结核杆菌先通过Wellgen Medical的AI算法完成识别，随后由两名持证医学技师进行双重复核。如需更多信息，请联系[e-mail]