WARF TECHNOLOGIES

UW-Madison researchers have developed systems and methods for analysis of pediatric MB tumor sub-compartments using a transfer learning approach that learns tumor-specific patterns from adult brain tumors, then transfers the knowledge to the pediatric brain tumor domain. The systems and methods may be fully automated and produce segmented images. Accurate segmentation of pediatric MB tumors on routine MRI scans plays an important role in disease diagnosis, prognosis, and patient treatment, including surgical and radiation planning. Thus, increased accuracy and information yields improved patient outcomes. Furthermore, the systems and methods provided herein are able to increase efficiency and reduce radiologist and clinician time, thereby saving costs, including hours of treatment planning time.

Tech Fields

• Radiation Therapy : Treatment planning