UCSF Renal Mass CT Dataset

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) dataset is a public, clinical, multimodal brain MRI dataset consisting of 560 brain MRIs from 412 patients with expert annotations of 5136 brain metastases. Data consists of registered and skull stripped T1 post-contrast, T1 pre-contrast, FLAIR and subtraction (T1 pre-contrast - T1 post-contrast) images and voxelwise segmentations of enhancing brain metastases in NifTI format.

This dataset contains the training data for the Machine learning for Optimal detection of iNflammatory cells in the KidnEY or MONKEY challenge. The MONKEY challenge focuses on the automated detection and classification of inflammatory cells, specifically monocytes and lymphocytes, in kidney transplant biopsies using Periodic acid-Schiff (PAS) stained whole-slide images (WSI). It contains 80 WSI, collected from 4 different pathology institutes, with annotated regions of interest. For each WSI up to 3 different PAS scans and one IHC slide scan are available. This dataset and challenge support the development of AI models that can aid in the diagnostic process, reduce pathologists’ workload, and improve patient outcomes in renal transplantation.

There are multiple treatment options for bunions. Procedures range from minimally invasive to invasive surgical options. Depending on the severitiy of the hallux valgus treament could be an implant designed for joint preservation, pinning, fixation or implant for more severe cases. Utilizing CT imaging can help in 3D modeling on many forms of bunion diseases which helps in the creating and testing of new product models.

Pancreatic cancer is a malignant disease that develops in the pancreas, a gland located behind the stomach. It is one of the most aggressive and lethal types of cancer. The exact cause of pancreatic cancer is unknown, but several risk factors have been identified. Pancreatic cancer often doesn't cause symptoms in the early stages. When symptoms do occur, they can be vague and similar to other conditions. It is important to continue to improve early detection for pancreatic cancer.