Just In Time Pattern Recognition Image Analysis (PRIA)
Morphology Recommendation Transfer Among Specialists
ROI viewing patterns vary significantly among pathologists. The viewing is guided by the pathologist’sexperience that the disease state morphologies are likely to be visually identified. We present a reliable method which learns to assist identifying disease relevant ROIs, based on information available in such viewing patterns.
Our approach enables accumulating learned morphologies into dictionaries and organizing them into atlases. The ability to learn such atlases from scratch following an installation, eliminates the need to support a vast range of calibrations and clinical settings. Such atlases can be automatically consulted to transfer this knowledge into ROI recommendations, thus reducing the probability of errors through collaboration. Ultimately, these atlases facilitate dramatically improving patient care.
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