Optimized data collection of relevant medical images
AssigneeInternational Business Machines Corporation
InventorsGiovanni John Jacques Palma, Thomas Binder, Frederic Commandeur
Life of this patent
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AssigneeInternational Business Machines Corporation
InventorsGiovanni John Jacques Palma, Thomas Binder, Frederic Commandeur
Estimating the term…
Some embodiments of the present invention select image data that are valuable for developing and/or training a deep learning based algorithm. A semi-automated system identifies cases that are the most valuable (most impactful, useful, and/or most effective) for developing and/or training the deep learning algorithm. The semi-automated system monitors a degree of uncertainty in the results produced by an image processing algorithm. Cases where the degree of uncertainty is high, and consequently a confidence score is low, are made ready for analysis, classification, and/or annotation by human review. Once analyzed, classified and/or annotated by human review, the data is made available for use in developing and/or training the deep learning algorithm.
A computer-implemented method comprising:
A computer program product comprising:
A computer system comprising:
Dependencies are inferred from the claim text.