-
Medical Segmentation Decathlon
The Medical Segmentation Decathlon dataset is a benchmark for medical image segmentation, containing 131 CT volumes. -
NIH dataset
The NIH dataset contains 14 different diseases, including pneumonia, and is used for training and testing machine learning models. -
AbdomenCT-1K
AbdomenCT-1K dataset is a large-scale dataset of abdominal CT scans, annotated with four anatomical structures: liver, kidney, spleen, and pancreas. -
Breast Ultrasound Dataset
The dataset in this paper comes from the database of the Ultrasound Imaging Department of Peking University Shenzhen Hospital. -
Brain Tumor Segmentation
Brain Tumor Segmentation dataset contains images of brain tumors from MRI scans. The dataset is used for automatic segmentation of brain tumors. -
LIDC-IDRI dataset
LIDC-IDRI dataset contains almost all the related information for low-dose lung CTs including several doctors' annotations on nodule sizes, locations, diagnosis results, nodule...