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Memory-efficient deep learning algorithms for computed tomography image reconstruction

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…

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A method for end-to-end spatial accuracy quality assurance for radiosurgery

A method for end-to-end spatial accuracy quality assurance for radiosurgery

Unmet Need Radiation therapy is an essential element of cancer treatment that benefits 4 million diagnosed patients every year. The ability to deliver complex three-dimensional distributions of dose that conform to even irregularly shaped lesions…

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