US 10,706,328 B2 · Focus-weighted, machine learning disease classifier error prediction for microscope slide images

Abstract

A method is described for generating a prediction of a disease classification error for a magnified, digital microscope slide image of a tissue sample. The image is composed of a multitude of patches or tiles of pixel image data. An out-of-focus degree per patch is computed using a machine learning out-of-focus classifier. Data representing expected disease classifier error statistics of a machine learning disease classifier for a plurality of out-of-focus degrees is retrieved. A mapping of the expected disease classifier error statistics to each of the patches of the digital microscope slide image based on the computed out-of-focus degree per patch is computed, thereby generating a disease classifier error prediction for each of the patches. The disease classifier error predictions thus generated are aggregated over all of the patches.

Claims16

Dependent claims

A method for generating a prediction of a disease classification error for a magnified, digital microscope slide image of a tissue sample, comprising the steps of:

(a) scanning with a slide scanner a microscope slide containing the tissue sample and generating the digital microscope slide image, the digital microscope slide image composed of a multitude of patches of pixel image data;
(b) computing an out-of-focus degree per patch for the digital microscope slide image;
(c) retrieving data representing expected disease classifier error statistics of a machine learning disease classifier for a plurality of out-of-focus degrees;
(d) computing a mapping of the expected disease classifier error statistics to each of the patches of the digital microscope slide image based on the computed out-of-focus degree per patch computed in step (b) and thereby generating a disease classifier error prediction for each of the patches;
and
(e) aggregating the disease classifier error predictions generated in step (d) over all of the patches.

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Focus-weighted, machine learning disease classifier error prediction for microscope slide images

Life of this patent

Focus-weighted, machine learning disease classifier error prediction for microscope slide images

Life of this patent

Abstract

Claims16