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US 11,961,234 B1Granted
Multistage region-of-interest identification in medical images
OwnerSteven Frankinventor
Life of this patent
Estimating the term…
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OwnerSteven Frankinventor
Estimating the term…
First and second predictors are used to identify regions of interest in a medical image. The first predictor is configured to maximize precision in identifying one or more abnormalities that it was trained to recognize, or at least to have greater precision than the second predictor. The second predictor is configured or selected to maximize sensitivity (i.e., recall) in identifying one or more abnormalities that it was trained to recognize, or at least to have greater sensitivity than the first predictor. The predictions of the first and second predictors may be used to create a digital map image showing the locations of regions of interest identified by the first and second predictors. Alternatively or in addition, the predictions may be used to rank images or image sets in terms of review priority.
A method of computationally generating a digital map image from a digital source medical image comprising tissue including first and second different tissue types, the method comprising the steps of:
An image-processing system for computationally generating a digital map image from a digital source medical image comprising tissue including first and second different tissue types, the system comprising:
A method of computationally analyzing a plurality of digital source medical images each comprising tissue including first and second different tissue types, and, based thereon, assigning a priority to each of the digital source medical images, the method comprising the steps of:
Dependencies are inferred from the claim text.