Training and machine learning classification of mold in digital microscopy images
AssigneeTechcyte, Inc.
InventorsS. Russell Zimmerman, Ralph Yarro, III, Benjamin P. Cahoon, Richard Boyd Smith, Hyrum S. Anderson
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Abstract
Systems, methods, and devices for classifying or detecting mold samples or training computer models (such as neural networks), are disclosed. A method includes obtaining a microscopy image of a mold sample. The method includes determining a classification of the mold sample based on non-image data corresponding to the mold sample. The method further includes training a computer model based on the microscopy image and a label indicating the classification.
Claims15
A system for training a computer model for mold spore classification, the system comprising:
- one or more processors;
- and
- non-transitory computer readable storage media storing instructions that, when executed by one or more processors, cause the one or more processors to:
- obtain a first image of a sample or cultured population;
- extract portions of the first image that correspond to mold spores, the mold spores having a known classification based on the sample or cultured population;
- place the extracted portions of the first image on a background to create a synthetic image;
- and
- train a computer model based on the synthetic image and a label indicating the known classification.
Non-transitory computer readable storage media storing instructions that, when executed by one or more processors, cause the one or more processors to:
- receive a microscopy image of a mold sample;
- processing the microscopy image of the mold sample using a computer model to determine a classification for the mold sample, wherein the computer model comprises a computer model trained using one or more synthetic microscopy images generated by:
- obtaining a first image of a first sample or cultured population;
- extracting portions of the first image that correspond to mold spores;
- and
- placing the extracted portions of the first image on a background to create the synthetic microscopy image;
- and
- storing an indication for the classification of the mold sample.
A system for training a computer model for mold spore classification, the system comprising:
- means for obtaining a first image of a sample or cultured population;
- means for extracting portions of the first image that correspond to mold spores, the mold spores having a known classification based on the sample or cultured population;
- means for placing the extracted portions of the first image on a background to create a synthetic image;
- and
- means for training a computer model based on the synthetic image and a label indicating the known classification.
Dependencies are inferred from the claim text.