数据资源abdominal CT and MRI with multi-organ annotationsabdominal multi-organ segmentation benchmarkAMOS 2022 challenge benchmark; see official Grand Challenge page申请访问 AMOS 腹部多器官分割基准
AMOS is an abdominal multi-organ segmentation benchmark with CT and MRI cases for evaluating versatile medical image segmentation models. It supports abdominal organ segmentation, modality-general segmentation, and benchmarking of robust 3D segmentation methods.
数据资源retinal fundus photographs with glaucoma and structure annotationsophthalmology fundus image challenge datasetREFUGE challenge dataset; official splits described on Grand Challenge申请访问 REFUGE 视网膜眼底青光眼挑战数据集
REFUGE is a retinal fundus imaging challenge dataset for glaucoma assessment. It supports glaucoma classification, optic disc and cup segmentation, fovea localization, and fair comparison of ophthalmology AI methods on color fundus photographs.
数据资源histopathology whole-slide imagesdigital pathology whole-slide image datasetCAMELYON17 challenge dataset; see Grand Challenge page申请访问 CAMELYON17 组织病理淋巴结转移数据集
CAMELYON17 is a digital pathology dataset for detecting breast cancer metastases in lymph node whole-slide images across multiple centers. It supports pathology classification, metastasis detection, weakly supervised learning, and domain generalization in histopathology AI.