Automated specimen classification system and method
AssigneeNeuromedical Systems, Inc.
InventorsMathilde E. Boon, Lanbrecht P. Kok, Laurie J. Mango, Akiva Rutenberg, Mark R. Rutenberg
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Abstract
A semi-automated method of classifying a histological specimen for the presence of premalignant or malignant cells, including the steps of treating a specimen with an immunohistochemical marker to provide a visual indication of cell proliferation, ranking individual objects in the specimen in an order according to the likelihood that each object has attributes consistent with a premalignant or malignant cell or cell cluster, selecting for display a set of said objects according to said ranking, and displaying images of said selected objects to facilitate review by an operator.
Claims23
A semi-automated method of classifying a specimen for the presence of premalignant or malignant cells, comprising the steps of:
- a) treating a specimen with an immunochemical marker to provide a visual indication of cell proliferation;
- b) ranking individual objects in the specimen in an order according to the likelihood that each object has attributes consistent with a premalignant or malignant cell or cell cluster;
- c) selecting for display a set of said objects according to said ranking;
- and
- d) displaying images of said selected objects to facilitate review by an operator.
A semi-automated method of classifying a specimen, comprising the steps of:
- a) obtaining a specimen;
- b) classifying such specimen to determine the likelihood that individual objects in such specimen have attributes justifying further medical consideration, said classifying including
- ranking individual objects in the specimen in an order according to the likelihood that each object has attributes justifying further medical consideration, and
- selecting for display a plurality of such objects according to said order, said plurality of selected objects being less than the number of ranked objects;
- and
- c) displaying an image of each of said selected objects for review and further classification by an operator.
Dependencies are inferred from the claim text.