Systems and methods for automated diagnosis and grading of tissue images
First Claim
Patent Images
1. A method for evaluating a tissue image for a medical condition, the method comprising:
- receiving morphometric data for the tissue image; and
evaluating the morphometric data with a model predictive of the medical condition, wherein the model is based on one or more morphometric features from the group of morphometric features consisting of one or more fractal dimension features, one or more fractal code features, one or more wavelet features, and one or more color channel histogram features, thereby evaluating the tissue image for the medical condition.
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Abstract
Systems and methods are provided for automated diagnosis and grading of tissue images based on morphometric data extracted from the images by a computer. The morphometric data may include image-level morphometric data such as fractal dimension data, fractal code data, wavelet data, and/or color channel histogram data. The morphometric data may also include object-level morphometric data such as color, structural, and/or textural properties of segmented image objects (e.g., stroma, nuclei, red blood cells, etc.).
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Citations
43 Claims
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1. A method for evaluating a tissue image for a medical condition, the method comprising:
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receiving morphometric data for the tissue image; and
evaluating the morphometric data with a model predictive of the medical condition, wherein the model is based on one or more morphometric features from the group of morphometric features consisting of one or more fractal dimension features, one or more fractal code features, one or more wavelet features, and one or more color channel histogram features, thereby evaluating the tissue image for the medical condition. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method for evaluating a tissue image, the method comprising:
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evaluating a first set of morpometric data from the tissue image with a model that predicts whether the tissue in the tissue image is cancerous or non-cancerous; and
when the model classifies the tissue as cancerous tissue, evaluating a second set of morphometric data from the tissue image with a model that predicts a cancer grade for the tissue. - View Dependent Claims (15, 16, 17)
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18. A method for generating a model predictive of a medical condition, the method comprising:
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receiving morphometric data from two or more tissue images with known classification with respect to the medical condition, wherein the morphometric data comprises morphometric data from the group of morphometric data consisting of fractal dimension data, fractal code data, wavelet data, and color channel histogram data; and
performing feature selection and/or classification on the morphometric data, thereby generating the model predictive of the medical condition. - View Dependent Claims (19, 20, 21, 42)
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22. An apparatus for evaluating a tissue image for a medical condition, the apparatus comprising:
a model predictive of the medical condition, wherein the model is based on one or more morphometric features from the group of morphometric features consisting of one or more fractal dimension features, one or more fractal code features, one or more wavelet features, and one or more color channel histogram features, wherein the model is configured to;
receive morphometric data for the tissue image; and
evaluate the morphometric data for the tissue image according to the model, thereby evaluating the tissue image for the medical condition. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
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35. An apparatus for evaluating a tissue image, the apparatus comprising:
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a first model configured to evaluate a first set of morpometric data from the tissue image in order to predict whether the tissue in the tissue image is cancerous or non-cancerous; and
a second model configured to evaluate, subsequent to the first model classifying the tissue as cancerous tissue, a second set of morphometric data from the tissue image in order to predict a cancer grade for the tissue. - View Dependent Claims (36, 37, 38)
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39. An apparatus for generating a model predictive of a medical condition, the apparatus comprising:
an analytical tool configured to;
receive morphometric data from two or more tissue images with known classification with respect to the medical condition, wherein the morphometric data comprises morphometric data from the group of morphometric data consisting of fractal dimension data, fractal code data, wavelet data, and color channel histogram data; and
perform feature selection and/or classification on the morphometric data, thereby generating the model predictive of the medical condition. - View Dependent Claims (40, 41)
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43. A computer readable medium comprising computer executable instructions recorded thereon for performing the method comprising:
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receiving morphometric data for a tissue image; and
evaluating the morphometric data with a model predictive of a medical condition, wherein the model is based on one or more morphometric features from the group of morphometric features consisting of one or more fractal dimension features, one or more fractal code features, one or more wavelet features, and one or more color channel histogram features, thereby evaluating the tissue image for the medical condition.
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Specification