Method and System of Building Hospital-Scale Medical Image Database

Developing computer systems that can recognize and locate image features associated with disease is a challenge for developing fully-automated and high precision computer assisted diagnostics. Joint learning of language tasks in association with vision tasks (association of image features with text annotation) adds an additional level of challenge.  Furthermore, scaling-up approaches from small to large datasets presents additional issues, particularly related to medical images.

Radiographic Marker for Portable Chest and Abdominal X-Rays

The NIH Clinical Center seeks parties interested to license a method and apparatus that can significantly improve the diagnostic performance of portable chest (CXR) and abdominal x-rays.  This device (see image below) quantifies angulation of a patient to provide for a better comparison of day-to-day improvement. Potential applications include portable chest and abdominal x-rays performed at patient's hospital bedside.

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