Classification based on characterization analysis methods and systems
AssigneesNantOmics, LLC, Nanthealth, Inc.
InventorsMustafa Jaber, Liudmila A. Beziaeva, Christopher W. Szeto, Bing Song
Life of this patent
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Abstract
A method at a computing device for classifying elements within an input, the method including breaking the input into a plurality of patches; for each patch: creating a vector output; applying a characterization map to select a classification bin from a plurality of classification bins; and utilizing the selected classification bin to classify the vector output to create a classified output; and compiling the classified output from each patch.
Claims23
A method at a computing device for classifying elements within image data of a histopathology slide, the method comprising:
- breaking the image data into a plurality of patches, each patch of the plurality of patches corresponding to a portion of the image data;
- for each patch:
- creating a vector output;
- applying a density map to obtain a cell density;
- selecting a classification bin from a plurality of classification bins according to the cell density;
- and
- utilizing the selected classification bin to classify the vector output to create a classified output;
- and
- compiling the classified output from each patch.
A computing device for classifying elements within image data of a histopathology slide, the computing device comprising a processor configured to execute instructions to:
- break the image data into a plurality of patches, each patch of the plurality of patches corresponding to a portion of the image data;
- for each patch:
- create a vector output;
- apply a density map to obtain a cell density;
- select a classification bin from a plurality of classification bins according to the cell density;
- and
- utilize the selected classification bin to classify the vector output to create a classified output;
- and
- compile the classified output from each patch.
A non-transitory computer readable medium for storing instruction code for classifying elements within an input, which, when executed by a processor of a computing device cause the computing device to:
- break the image data into a plurality of patches, each patch of the plurality of patches corresponding to a portion of the image data;
- for each patch:
- create a vector output;
- apply a density map to obtain a cell density;
- select a classification bin from a plurality of classification bins according to the cell density;
- and
- utilize the selected classification bin to classify the vector output to create a classified output;
- and
- compile the classified output from each patch.
Dependencies are inferred from the claim text.