Automatic learning of image features to predict disease

Details Automatic learning of image features to predict disease Automatic learning of image features to predict disease

2011-05-24

2011-05-24

Tabatabai, Abolfazl (Department: 2624)

Image analysis

Applications

Biomedical applications

C378S004000, C600S300000

Reexamination Certificate

active

07949167

ABSTRACT:
A method for training a computer system for automatic detection of regions of interest includes receiving patient records. For each of the received patient records a text field and a medical image are identified from within the patient record and the medical image is automatically segmented to identify a structure of interest. The text field is searched for one or more keywords indicative of a particular abnormality associated with the structure of interest. The medical image is added to a grouping representing the particular abnormality when the text field indicates that the patient has the particular abnormality and the medical image is added to a grouping representing the absence of the particular abnormality when the text field does not indicate that the patient has the particular abnormality. The groupings of medical images are used to automatically train a computer system for the subsequent detection of the particular abnormality.

REFERENCES:
patent: 5768413 (1998-06-01), Levin et al.
patent: 7428323 (2008-09-01), Hillman

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