One of the solutions we built is used in brain tumor research and is powered by Python's Flask micro web framework. The application compiles information from various data sources into a single unified database, allowing researchers a better overview and processing of patient data. Anonymized patient data is tracked through the duration of the treatment period. The application's long-term goals are intended to improve tumor diagnosis using prediction modeling and statistical analysis.
Machine learning for magnetic resonance imaging
Classification assigns a label to an MRI series —normal/abnormal, level of severity, or a diagnosis. Segmentation is the process of delineating the boundaries, or "contours," of various tissues and processes. Our service contains the functionality of both methods, with emphasis on segmentation, and will serve as a "virtual assistant" in interpreting MR scans to help radiologists in their everyday work.