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Thyroid nodule automatic detection model construction method, system and device

A technology for automatic detection of thyroid nodules, applied in the field of artificial intelligence, can solve problems such as lack of work

Inactive Publication Date: 2020-08-28
北京小白世纪网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Judging from the current research status, although the research on benign and malignant thyroid nodules has been carried out, in practice, the location of thyroid nodules needs to be located first, and then the benign and malignant thyroid nodules can be identified. The work of thyroid nodules is missing, so further research is needed on the automatic detection of thyroid nodules

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  • Thyroid nodule automatic detection model construction method, system and device
  • Thyroid nodule automatic detection model construction method, system and device
  • Thyroid nodule automatic detection model construction method, system and device

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Embodiment 1

[0065] An embodiment of the present invention provides a convolutional neural network-based automatic detection model building equipment for thyroid nodules, such as Figure 5 As shown, it includes: a memory 50, a processor 52, and a computer program stored on the memory 50 and operable on the processor 52. When the computer program is executed by the processor 52, the following method steps are implemented:

[0066]Step 101, denoising the thyroid ultrasound image data to obtain a thyroid ultrasound image training data set; Step 101 specifically includes: performing grayscale processing on the thyroid ultrasound image to obtain a binarized image; on the basis of the binarized image, performing Image opening operation, that is, to first corrode the image and then expand the image to complete the denoising of the thyroid ultrasound image data.

[0067] Specifically, the quality of image preprocessing algorithms is directly related to the effect of subsequent image processing, su...

Embodiment 2

[0084] An embodiment of the present invention provides a computer-readable storage medium, where a program for realizing information transmission is stored on the computer-readable storage medium, and when the program is executed by the processor 52, the following method steps are implemented:

[0085] Step 101, denoising the thyroid ultrasound image data to obtain a thyroid ultrasound image training data set; Step 101 specifically includes: performing grayscale processing on the thyroid ultrasound image to obtain a binarized image; on the basis of the binarized image, performing Image opening operation, that is, to first corrode the image and then expand the image to complete the denoising of the thyroid ultrasound image data.

[0086] Specifically, the quality of image preprocessing algorithms is directly related to the effect of subsequent image processing, such as image segmentation, target recognition, edge extraction, etc. In order to obtain high-quality digital images, i...

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Abstract

The invention discloses a thyroid nodule automatic detection model construction method, system and device based on a convolutional neural network, and the thyroid nodule automatic detection model construction method comprises the steps: carrying out the noise reduction of thyroid ultrasonic image data, and obtaining a thyroid ultrasonic image training data set; based on the training data set, using a Yolov3 network to train a thyroid nodule detection model; based on the training data set, using a Resnet network to train a thyroid nodule benign and malignant identification model; and fusing thethyroid nodule detection model and the thyroid nodule benign and bad recognition model to generate a thyroid nodule automatic detection model.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, system and device for constructing a thyroid nodule automatic detection model based on a convolutional neural network. Background technique [0002] In the past 20 years, the detection of thyroid nodules has been increasing. Just like most nodules, it is very important for patients to accurately distinguish thyroid nodules and nodularity. , biopsy and other costly and painful methods; more importantly, the diagnosis of nodules and the accurate diagnosis of benign and malignant are critical to the treatment of patients. Ultrasound is a common method for detecting thyroid nodules. Radiologists have summarized the ultrasonic features for detecting malignant tumors, including hypoechoic, no halo, microcalcification, firmness, and blood flow in nodules. Based on these characteristics, the internationally accepted Thyroid Imaging Reporting and Data Sy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/04G06N3/08
CPCG06T7/0012G06T2207/10132G06T2207/20081G06T2207/20084G06T2207/30004G06N3/08G06N3/045
Inventor 杜强黄丹郭雨晨聂方兴张兴唐超
Owner 北京小白世纪网络科技有限公司
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