Apparatus and method for computer-aided diagnosis
First Claim
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1. A method for medical diagnostics, comprising:
- receiving three-dimensional (3D) volume data of at least a part of an object;
generating two-dimensional (2D) slices including cross-sections of the 3D volume data based on a cross-section cutting direction;
classifying a lesion in at least two of the generated 2D slices;
calculating confidence levels of results of the classification;
selecting a plurality of the at least two 2D slices based on the confidence levels of the results of the classification; and
classifying a lesion included in the 3D volume data based on at least one of the classification results of the selected 2D slices or the confidence levels of the classification results of the selected 2D slices.
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Abstract
An apparatus and method for medical diagnostics includes receiving three-dimensional (3D) volume data of a part of a patient'"'"'s body, and generating two-dimensional (2D) slices including cross-sections of the 3D volume data cut from a cross-section cutting direction. The apparatus and the method also determine whether a lesion in each of the 2D slices is benign or malignant and output results indicative thereof, select a number of the 2D slices based on the results, and make a final determination whether the lesion is benign or malignant based on the selected 2D slices.
22 Citations
20 Claims
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1. A method for medical diagnostics, comprising:
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receiving three-dimensional (3D) volume data of at least a part of an object; generating two-dimensional (2D) slices including cross-sections of the 3D volume data based on a cross-section cutting direction; classifying a lesion in at least two of the generated 2D slices; calculating confidence levels of results of the classification; selecting a plurality of the at least two 2D slices based on the confidence levels of the results of the classification; and classifying a lesion included in the 3D volume data based on at least one of the classification results of the selected 2D slices or the confidence levels of the classification results of the selected 2D slices. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An apparatus for medical diagnostics, comprising:
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a receiver configured to receive three-dimensional (3D) volume data of at least a part of an object; and at least one processor configured to; generate two-dimensional (2D) slices including cross-sections of the 3D volume data based on a cross-section cutting direction, classify a lesion in at least two of the generated 2D slices, calculate confidence levels of the results of the classification, select a plurality of the at least two 2D slices based on the confidence levels of the results of the classification, and classify a lesion included in the 3D volume data based on at least one of the classification results of the selected 2D slices or the confidence levels of the classification results of the selected 2D slices. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on at least one processor, configures the at least one processor to:
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receive three-dimensional (3D) volume data of at least a part of an object; generate two-dimensional (2D) slices including cross-sections of the 3D volume data based on a cross-section cutting direction; classify a lesion in at least two of the generated 2D slices; calculate confidence levels of results of the classification; select a plurality of the at least two 2D slices based on the confidence levels of the results of the classification; and classify a lesion included in the 3D volume data based on at least one of the classification results of the selected 2D slices or the confidence levels of the classification results of the selected 2D slices.
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Specification