Medical image classification apparatus, method, and program
AssigneeFUJIFILM Corporation
InventorShoji Kanada
Life of this patent
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Abstract
A first classification unit outputs a plurality of evaluation values indicating the possibility of being each of a plurality of types of case regions for each pixel of a three-dimensional image. Based on selected conversion definition information, a second classification unit converts a first classification result for each pixel of the three-dimensional image based on the plurality of evaluation values, and outputs a second classification result for each pixel of the three-dimensional image.
Claims11
A medical image classification apparatus for classifying pixels of a medical image into a plurality of types of case regions, the apparatus comprising:
- processing circuitry configured to output a plurality of evaluation values indicating a possibility of being each of the plurality of types of case regions for each pixel of the medical image;
- and
- storage unit for storing a plurality of pieces of conversion definition information for calculating a second classification result for each pixel of the medical image by converting a first classification result for each pixel of the medical image based on the plurality of evaluation values;
- the processing circuitry further configured to output the second classification result by converting the first classification result based on conversion definition information selected from the plurality of pieces of conversion definition information,
- wherein the processing circuitry outputs the second classification result obtained by classifying each pixel of the medical image into any of the plurality of types of case regions,
- wherein the conversion definition information defines a weighting coefficient for each of the plurality of types of case regions, and
- wherein the processing circuitry calculates a plurality of weighted evaluation values by performing a weighting operation on the plurality of evaluation values based on the weighting coefficient, classifies each pixel of the medical image into any of the plurality of types of case regions based on the weighted evaluation values, and outputs the second classification result.
A medical image classification method of classifying pixels of a medical image into a plurality of types of case regions, the method comprising:
- outputting a plurality of evaluation values indicating a possibility of being each of the plurality of types of case regions for each pixel of the medical image;
- and
- outputting a second classification result by converting a first classification result based on conversion definition information selected from a plurality of pieces of conversion definition information for calculating the second classification result for each pixel of the medical image by converting the first classification result for each pixel of the medical image based on the plurality of evaluation values,.
- wherein the second classification result obtained by classifying each pixel of the medical image into any of the plurality of types of case regions is output,
- wherein the conversion definition information defines a weighting coefficient for each of the plurality of types of case regions, and
- wherein a plurality of weighted evaluation values is calculated by performing a weighting operation on the plurality of evaluation values based on the weighting coefficient, each pixel of the medical image is classified into any of the plurality of types of case regions based on the weighted evaluation values, and the second classification result is output.
A non-transitory computer-readable storage medium that stores a medical image classification program for causing a computer to execute a medical image classification method of classifying pixels of a medical image into a plurality of types of case regions, the program causing the computer to execute:
- a step of outputting a plurality of evaluation values indicating a possibility of being each of the plurality of types of case regions for each pixel of the medical image;
- and
- a step of outputting a second classification result by converting a first classification result based on conversion definition information selected from a plurality of pieces of conversion definition information for calculating the second classification result for each pixel of the medical image by converting the first classification result for each pixel of the medical image based on the plurality of evaluation values,
- wherein the second classification result obtained by classifying each pixel of the medical image into any of the plurality of types of case regions is output,
- wherein the conversion definition information defines a weighting coefficient for each of the plurality of types of case regions, and
- wherein the a plurality of weighted evaluation values is calculated by performing a weighting operation on the plurality of evaluation values based on the weighting coefficient, each pixel of the medical image is classified into any of the plurality of types of case regions based on the weighted evaluation values, and the second classification result is output.
Dependencies are inferred from the claim text.