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Calcified false positive recognition method and device, calcified false positive recognition model training method and device, terminal and medium

A technology for identifying models and training methods, which is applied in the field of image recognition, can solve the problems of unfavorable calcification area morphology and separate identification, reduce the efficiency of doctor's film reading, etc., and achieve the effect of improving film reading efficiency and reducing false positive rate

Active Publication Date: 2020-06-12
INFERVISION MEDICAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Due to the small diameter of the calcification area, in order to prevent missed identification when performing calcification identification on breast images, the false positives of calcification identification are usually high, and it is easy to identify non-calcified areas in the breast as calcified areas, thus reducing the doctor's work. The efficiency of film reading is not conducive to the subsequent recognition of the morphology and separation of calcified areas

Method used

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  • Calcified false positive recognition method and device, calcified false positive recognition model training method and device, terminal and medium
  • Calcified false positive recognition method and device, calcified false positive recognition model training method and device, terminal and medium
  • Calcified false positive recognition method and device, calcified false positive recognition model training method and device, terminal and medium

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Embodiment 1

[0036] Figure 1a It is a schematic flowchart of a calcification false positive recognition model training method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of training a breast calcification false positive recognition model. The method can be executed by the calcification false positive recognition model training device provided in the embodiment of the present invention, and the calcification false positive recognition model training device can be configured in the terminal provided in the embodiment of the present invention.

[0037] see Figure 1a , the calcification false positive identification model training method specifically comprises the following steps:

[0038] S110. Acquire a sample breast image and first candidate calcification points in the sample breast image, and mark false positive calcification points in the first candidate calcification points.

[0039] Wherein, the calcification false positive identif...

Embodiment 2

[0059] Figure 2a It is a schematic flow chart of a calcification false positive identification method provided by Embodiment 2 of the present invention. This embodiment is applicable to the situation of identifying false positive calcification points, especially when the false positive rate of the breast calcification detection model is high. False-positive calcifications identified by a pre-trained calcification false-positive recognition model. The method can be executed by the calcification false positive identification device provided in the embodiment of the present invention, and the calcification false positive identification device can be configured in the terminal provided in the embodiment of the present invention. The calcification false positive recognition method provided by the embodiment of the present invention belongs to the same inventive concept as the calcification false positive recognition model training method provided by the above embodiment, and the t...

Embodiment 3

[0072] image 3 It is a schematic structural diagram of a calcification false positive recognition model training device provided in Embodiment 3 of the present invention. The calcification false positive recognition device can be used to realize the calcification false positive recognition model training method provided by any embodiment of the present invention.

[0073] see image 3 , a calcification false positive recognition model training device, comprising:

[0074] The first acquisition module 310 is configured to acquire a sample mammary gland image and first candidate calcification points in the sample mammary gland image, and mark false positive calcification points in the first candidate calcification points;

[0075] The first processing module 320 is configured to crop the sample mammary gland image according to the first candidate calcification point, obtain a region image of the first candidate calcification point, and perform convolution processing on the re...

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Abstract

The embodiment of the invention discloses a calcified false positive recognition method and device, a calcified false positive recognition model training method and device, a terminal and a medium, and the model training method comprises the steps: obtaining a sample mammary gland image and a first candidate calcification point in the sample mammary gland image, and marking a false positive calcification point in the first candidate calcification point; cutting the sample mammary gland image according to the first candidate calcification point to obtain a regional image of the first candidatecalcification point, and performing convolution processing on the regional image; and inputting the area image and the area image after convolution processing into a calcified false positive recognition model, outputting a false positive calcification point, and training the calcified false positive recognition model by taking the deviation of the output false positive calcification point and themarked false positive calcification point being less than a preset threshold as a target. Through the recognition model obtained through training of any one of the model training methods in claims 1-5, recognition of false positive calcification points can be realized, so that the false positive rate of calcification recognition can be effectively reduced, and improvement of film reading efficiency of doctors and subsequent recognition processing of calcified region forms and respective calcification regions are facilitated.

Description

technical field [0001] Embodiments of the present invention relate to image recognition technology, and in particular to a method, device, terminal and medium for calcified false positive recognition and model training thereof. Background technique [0002] At present, mammography, also known as molybdenum-palladium examination, uses low-dose X-rays to scan the breast, and obtains breast images with higher resolution through the absorption of X-rays by breast tissue to varying degrees. By performing image recognition on the breast image, the information of the region of interest in the image can be determined, for example, the type of the region of interest can be determined as calcification or tumor. Compared with artificial breast examination, more complete and accurate breast information can be obtained through breast imaging examination, and the examination method is simple, reliable, non-invasive, reproducible, not limited by age and body shape, so it has been used as a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06K9/62G06N3/04G06N3/08
CPCG06T7/11G06N3/084G06T2207/10116G06T2207/20081G06T2207/30068G06N3/045G06F18/214G06F18/241
Inventor 周铭吉韩旭赵朝炜李新阳王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD