Similarity determination apparatus, similarity determination method, and similarity determination program
AssigneeFUJIFILM Corporation
InventorShoji Kanada
Life of this patent
Estimating the term…
Abstract
A finding classification unit classifies each pixel of a first medical image into at least one finding. A feature amount calculation unit calculates a first feature amount for each finding. A weighting coefficient setting unit sets a weighting coefficient indicating a degree of weighting, which varies depending on a size of each finding, for each finding. A similarity derivation unit performs a weighting operation for the first feature amount for each finding calculated in the first medical image and a second feature amount for each finding calculated in advance in a second medical image on the basis of the weighting coefficient to derive a similarity between the first medical image and the second medical image.
Claims16
A similarity determination apparatus for determining a similarity between a first medical image and a second medical image, comprising:
- a processor configured to classify each pixel of the first medical image into at least one of a plurality of types of findings;
- derive a first feature amount for each finding classified in the first medical image;
- set a weighting coefficient indicating a degree of weighting, which varies depending on a size of each finding, for each finding classified in the first medical image;
- derive the similarity between the first medical image and the second medical image by performing a weighting operation for the first feature amount for each finding derived in the first medical image and a second feature amount for each finding derived in advance in the second medical image on the basis of the weighting coefficient;
- and
- derive a higher similarity in a case that a first finding of findings having a relatively large size derived from a first image as the first medical image becomes larger than the first finding of findings having a relatively small size derived from a second image as the first medical image.
A similarity determination method for determining a similarity between a first medical image and a second medical image, the method comprising:
- classifying each pixel of the first medical image into at least one of a plurality of types of findings;
- deriving a first feature amount for each finding classified in the first medical image;
- setting a weighting coefficient indicating a degree of weighting, which varies depending on a size of each finding, for each finding classified in the first medical image;
- deriving the similarity between the first medical image and the second medical image by performing a weighting operation for the first feature amount for each finding derived in the first medical image and a second feature amount for each finding derived in advance in the second medical image on the basis of the weighting coefficient;
- and
- deriving a higher similarity in a case that a first finding of findings having a relatively large size derived from a first image as the first medical image becomes larger than the first finding of findings having a relatively small size derived from a second image as the first medical image.
A non-transitory computer recording medium storing a similarity determination program that causes a computer to perform a process of determining a similarity between a first medical image and a second medical image, the program causing the computer to perform:
- a step of classifying each pixel of the first medical image into at least one of a plurality of types of findings;
- a step of deriving a first feature amount for each finding classified in the first medical image;
- a step of setting a weighting coefficient indicating a degree of weighting, which varies depending on a size of each finding, for each finding classified in the first medical image;
- a step of deriving the similarity between the first medical image and the second medical image by performing a weighting operation for the first feature amount for each finding derived in the first medical image and a second feature amount for each finding derived in advance in the second medical image on the basis of the weighting coefficient;
- and
- a step of deriving a higher similarity in a case that a first finding of findings having a relatively large size derived from a first image as the first medical image becomes larger than the first finding of findings having a relatively small size derived from a second image as the first medical image.
Dependencies are inferred from the claim text.