DiaRetDB1是一个公共数据库,用于评估和评估糖尿病视网膜病变检测算法。该数据库包含眼底的数字图像和几个着名的糖尿病眼底病变(硬性渗出物,软性渗出物,微动脉瘤和出血)的专家基础真实标注。
The DiaRetDB1 is a public database for evaluating and benchmarking diabetic retinopathy detection algorithms. The database contains digital images of eye fundus and expert annotated ground truth for several well-known diabetic fundus lesions (hard exudates, soft exudates, microaneurysms and hemorrhages). The original images and the raw ground truth are both available. In addition to the data we also provide Matlab functionality (M-files) to read data (XML-files), fuse data of several experts and to evaluate detection methods.
This database is related to ImageRet project and the ground truth was collected using our ImgAnnoTool image annotation tool (contact Lasse Lensu for more information). For a more detailed description, see our documentation, please.
Authors The following authors have significantly contributed to the actual work of establishing and collecting the data and implementing the methods for the database: Tomi Kauppi, Valentina Kalesnykiene, Iiris Sorri, Asta Raninen, Raija Voutilainen, Joni Kamarainen, Lasse Lensu and Hannu Uusitalo.
90 images
来源机构 | 芬兰拉普兰塔理工大学(Lappeenranta University of Technology,LUT)机器视觉与模式识别实验室 |
最后修改时间 | 2009-05-06 |
序号 | 名称 | 大小 |
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1 | ddb2.tar.gz | 13KB |
2 | ddb1_v02_01.tar.gz | 145MB |
3 | README.txt | 1KB |