System and method for performing probabilistic classification and decision support using multidimensional medical image databases
A system and method for providing decision support to a physician during a medical examination is disclosed. Data is received from a sensor representing a particular medical measurement. The received data includes image data. The received data and context data is analyzed with respect to one or more sets of training models. Probability values for the particular medical measurement and other measurements to be taken are derived based on the analysis and based on identified classes. The received image data is compared with training images. Distance values are determined between the received image data and the training images, and the training images are associated with the identified classes. Absolute value feature sensitivity scores are derived for the particular medical measurement and other measurements to be taken based on the analysis. The probability values, distance values and absolute value feature sensitivity scores are outputted to the user.
Siemens Medical Solutions USA, Inc.
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Y10S G06V G06K A61B G16H G06V G06V Y10S G16H G06K
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Visvanathan Diane Xiang Alok Dorin Bhavani
Ramesh Paine Zhou Gupta Comaniciu Duggirala