Image classification method, apparatus, and device, storage medium, and medical electronic device
AssigneeTencent Technology (Shenzhen) Company Limited
InventorsZequn Jie, Bo Zhao, Jiashi Feng
Life of this patent
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Abstract
An image classification method is provided to an electronic device. The method includes: receiving a target image and a reference image about the target image, the target image being a medical image; determining a first image feature of the target image and a second image feature of the reference image; fusing the first image feature and the second image feature to determine a to-be-classified image feature; and determining, by using the to-be-classified image feature, a probability that the target image belongs to a preset category.
Claims20
An image classification method, performed by an electronic device, the method comprising:
- receiving a target image and a reference image about the target image, the target image being a medical image;
- determining a first image feature of the target image and a second image feature of the reference image;
- fusing the first image feature and the second image feature to determine a to-be-classified image feature;
- and
- determining, by using the to-be-classified image feature, a probability that the target image belongs to a preset category, wherein determining the probability comprises:
- obtaining a vector having a plurality of dimensions by using the to-be-classified image feature, elements in the vector respectively representing confidence scores that the target image and the reference image belong to the preset category;
- and
- determining, according to the confidence score that the target image belongs to the preset category, the probability that the target image belongs to the preset category.
An image classification apparatus, comprising:
- a memory storing computer program instructions;
- and a processor coupled to the memory and configured to execute the computer program instructions and perform:
- receiving a target image and a reference image about the target image, the target image being a medical image;
- determining a first image feature of the target image and a second image feature of the reference image;
- fusing the first image feature and the second image feature to determine a to-be-classified image feature;
- and
- determining, by using the to-be-classified image feature, a probability that the target image belongs to a preset category, wherein determining the probability comprises:
- obtaining a vector having a plurality of dimensions by using the to-be-classified image feature, elements in the vector respectively representing confidence scores that the target image and the reference image belong to the preset category;
- and
- determining, according to the confidence score that the target image belongs to the preset category, the probability that the target image belongs to the preset category.
A non-transitory computer-readable storage medium storing computer program instructions executable by at least one processor to perform:
- receiving a target image and a reference image about the target image, the target image being a medical image;
- determining a first image feature of the target image and a second image feature of the reference image;
- fusing the first image feature and the second image feature to determine a to-be-classified image feature;
- and
- determining, by using the to-be-classified image feature, a probability that the target image belongs to a preset category, wherein determining the probability comprises:
- obtaining a vector having a plurality of dimensions by using the to-be-classified image feature, elements in the vector respectively representing confidence scores that the target image and the reference image belong to the preset category;
- and
- determining, according to the confidence score that the target image belongs to the preset category, the probability that the target image belongs to the preset category.
Dependencies are inferred from the claim text.