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A method and device for identifying a mammary gland image

A technology for image recognition and mammary glands, which is applied in the directions of character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of low efficiency of mammary glands, achieve the effects of reducing diagnostic error rate, improving effectiveness, and improving accuracy

Inactive Publication Date: 2019-03-08
HANGZHOU YITU MEDIAL TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method and device for mammary gland image recognition, which are used to solve the problem of low efficiency in the prior art of judging the classification of mammary glands in medical images based on doctor's experience

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  • A method and device for identifying a mammary gland image
  • A method and device for identifying a mammary gland image
  • A method and device for identifying a mammary gland image

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Embodiment Construction

[0039] In order to make the object, technical solution and beneficial effects of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] Gland classification is a concise description of the composition of the entire breast, which helps to judge the reliability of breast imaging diagnosis, that is, the possibility of lesions hidden in normal breast tissue. In the embodiment of the present invention, a mammogram is taken as an example for an exemplary description, and other images are not repeated here. The old standard divides breast types into grades 1 to 4 according to density, in order: fatty type; a small amount of glandular type; a large amount of glandular type; dense type. Fatty type means that the glands ac...

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Abstract

The embodiment of the invention provides a method and device for identifying a mammary gland image, which relates to the technical field of machine learning. The method comprises the following steps of acquiring a mammary gland image; inputting the mammary gland image into a feature extraction module to acquire a feature image of the mammary gland image, wherein the feature extraction module comprises N convolution modules, each convolution module comprises a first convolution layer and a second convolution layer in turn, and the number of feature images output by the first convolution layeris smaller than the number of feature images input by the first convolution layer, and the number of characteristic images output by the second convolution layer is larger than the number of characteristic images output by the first convolution layer; inputting the feature image outputted from the feature extraction module to a classification module, and determining the classification of the breast in the breast image.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of machine learning, and in particular to a method and device for breast image recognition. Background technique [0002] At present, breast imaging can be used to examine human breasts with low-dose X-rays. It can detect various breast tumors, cysts and other lesions, which is helpful for early detection of breast cancer and reduces its mortality. A mammary gland image generally includes four X-ray images, which are four images in two projection positions on the left and right breasts respectively. Classifying the composition of the entire breast helps to judge the reliability of breast imaging diagnosis, that is, to determine the possibility of lesions hidden in normal breast tissue. [0003] At present, doctors generally judge the classification of breast images in breast images based on personal experience, which is inefficient and highly subjective. Contents of the invention ...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62G06N3/04
CPCG06V10/462G06N3/045G06F18/214G06F18/241
Inventor 魏子昆华铱炜丁泽震
Owner HANGZHOU YITU MEDIAL TECH CO LTD
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