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US 11,776,235 B2Granted
System, method and computer-accessible medium for quantification of blur in digital images
AssigneeMemorial Sloan Kettering Cancer Center
InventorsGabriele Campanella, Peter J. Schüffler, Thomas Fuchs
Life of this patent
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Abstract
The present disclosure discusses systems and methods to detect blur in digital images. The solution can be incorporated into the quality control systems of pathology and other slide scanners or can be a stand-alone solution. The solution can identify scanned images that include blur and cause the scanner to automatically rescan the blurry image. The solution can also identify regions of the scanned image that include blur. The solution can generate blur maps for each of the scanned images that identify regions of the scanned image that include blur.
Claims14
A method, comprising:
- identifying, by one or more processors, a first plurality of patches from a first digital image of a pathology slide of a tissue sample obtained from a subject, the first digital image acquired via a camera at a magnification factor of a plurality of magnification factors, each of the first plurality of patches comprising a corresponding portion of the first digital image;
- determining, by the one or more processors, using a classifier, a first dwell time identifying a predicted amount of time that each patch of the first plurality of patches is to be viewed, the classifier trained using a second plurality of patches of a second digital image and a second dwell time identifying an amount of time that each patch of the second plurality of patches was viewed;
- generating, by the one or more processors, a map for the first digital image based on the first dwell time for each patch of the first plurality of patches;
- and
- storing, by the one or more processors, an association between the map and the first plurality of patches of the first digital image.
2 more elements
A method, comprising:
- identifying, by one or more processors, a first plurality of patches from a first digital image of a pathology slide of a tissue sample obtained from a subject, the first digital image acquired via a camera at a magnification factor of a plurality of magnification factors, each of the first plurality of patches comprising a plurality of pixels from a corresponding portion of the first digital image;
- determining, by the one or more processors, a first dwell time for each patch of the first plurality of patches, the first dwell time indicating a first amount of time that a corresponding patch of the first plurality of patches was viewed;
- training, by the one or more processors, a classifier to determine a second dwell time identifying a predicted amount of time that each patch of the first plurality of patches is to be viewed, using (i) the first dwell time for each patch of the first plurality of patches and (ii) the plurality of pixels from the corresponding portion of the first digital image;
- and
- using, by the one or more processors, the classifier to generate a map for a second digital image based on a second plurality of patches of the second digital image.
2 more elements
A system, comprising:
- one or more processors coupled with memory, configured to:
- identify a first plurality of patches from a first digital image of a pathology slide of a tissue sample obtained from a subject, the first digital image acquired via a camera at a magnification factor of a plurality of magnification factors, each of the first plurality of patches comprising a corresponding portion of the first digital image;
- determine, using a classifier, a first dwell time identifying a predicted amount of time that each patch of the first plurality of patches is to be viewed, the classifier trained using a second plurality of patches of a second digital image and a second dwell time identifying an amount of time that each patch of the second plurality of patches was viewed;
- generate a map for the first digital image based on the first dwell time for each patch of the first plurality of patches;
- and
- store an association between the map and the first plurality of patches of the first digital image.
3 more elements
Dependencies are inferred from the claim text.