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Computer Aided Detection Tool for Difficult-to-Detect Brain Metastases
Unmet Need An estimated 20% of all cancer patients will develop brain metastases in their lifetime. These metastases are first diagnosed by neuroradiologists using CT, and more commonly, MR imaging. If a limited number of…
Memory-efficient deep learning algorithms for computed tomography image reconstruction
Unmet Need Using high resolution images such as computed tomography (CT) has become a popular tool to guide medical interventions from radiotherapy to dental implantation. The market for CT services is expected to grow from…
Systems and methods for automated radiation treatment planning with decision support
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
Systems and methods for learning and accumulating optimal strategies for radiation treatment planning
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
System and method for training radiation treatment planners using knowledge-based models
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
Systems and methods for automatic radiation treatment plan generation and evidence-based customization for breast cancer
Unmet Need Breast cancer is now the most commonly diagnosed form of the disease, with 2.3 million new cases in 2020. Some of the most effective therapies for cancer are based around beams of radiation…
System and method for automated fluence map prediction and radiation treatment plan generation
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
Automatic determination of beam configurations for patient-specific radiation therapy planning
Value Proposition Radiation treatment planning involves complex decision making that takes into account all aspects of a patient's conditions and treatment constraints. The treatment design includes parameters such as beam angles, beam ranges, beam energies,…