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Method and device for determining lung nodules to be benign or malignant

A lung nodule and malignant technology, applied in the field of data processing, can solve problems such as low efficiency and low accuracy

Inactive Publication Date: 2018-10-09
HANGZHOU YITU MEDIAL TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, when doctors determine benign and malignant pulmonary nodules, they often observe chest images. This diagnostic method requires doctors to make judgments manually, which is inefficient and is easily affected by regional medical level and personal experience level of doctors. impact, less accurate

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  • Method and device for determining lung nodules to be benign or malignant
  • Method and device for determining lung nodules to be benign or malignant
  • Method and device for determining lung nodules to be benign or malignant

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Embodiment Construction

[0053] The present application will be described in detail below in conjunction with the accompanying drawings, and the specific operation methods in the method embodiments can also be applied to the device embodiments.

[0054] figure 1 It exemplarily shows a schematic flowchart corresponding to a method for determining benign and malignant pulmonary nodules provided by an embodiment of the present invention, as shown in figure 1 shown, including the following steps:

[0055] Step 101, acquiring a CT image of a patient's lungs for electronic computerized tomography.

[0056] Step 102, determining the position of the patient's lung nodules in the patient's lung CT image, and extracting the patient's lung nodule image from the patient's lung CT image.

[0057] Step 103, using a preset feature extraction neural network model to perform feature extraction on the patient's pulmonary nodule image to obtain a feature vector corresponding to the patient.

[0058] Step 104, input t...

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Abstract

The invention discloses a method and a device for determining lung nodules to be benign or malignant. The method comprises the following steps of extracting a lung nodule image from a lung CT image ofa patient, carrying out feature extraction by adopting a preset feature extracting neural network model, and obtaining a feature vector corresponding to the patient; further, inputting the feature vector corresponding to the patient into a preset benign and malignant classification neural network model, and obtaining benign or malignant properties of lung modules suffered by the patient from thepreset benign and malignant classification neural network model. Accordingly, compared with the mode that a doctor determines the lung nodules to be benign or malignant through human diagnosis in theprior art, the invention is advantageous in that the preset feature extracting neural network model is adopted, and the benign and malignant lung nodules are determined by combining with a preset benign and malignant classification neural network; the diagnosis error rate caused by the level difference of doctors can be reduced, and the accuracy of determining the benign and malignant lung nodulesis improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for determining benign and malignant pulmonary nodules. Background technique [0002] A pulmonary nodule is a noncaseating necrotic epithelial granulomatous lesion. Pulmonary nodules can be divided into benign and malignant. Benign pulmonary nodules can be relieved on their own, and the harm to the human body is relatively small; malignant pulmonary nodules can easily cause functional damage, extensive lung fibrosis, and even lung cancer, which is harmful to the human body. great. Therefore, when a patient suffers from pulmonary nodules, it is necessary to accurately determine whether the pulmonary nodules suffered by the patient are benign pulmonary nodules or malignant pulmonary nodules. [0003] In the prior art, when doctors determine benign and malignant pulmonary nodules, they often observe chest images. This diagnostic method requires doctors ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06N3/04
CPCG06T7/0012G06T2207/30096G06T2207/30064G06T2207/10081G06N3/045
Inventor 丁泽震杨忠程魏子昆
Owner HANGZHOU YITU MEDIAL TECH CO LTD