Nasopharyngeal carcinoma distant metastasis predicting system based on deep learning algorithm

A technology of transfer prediction and deep learning, applied in computing, informatics, medical informatics, etc., can solve problems such as accurate judgment of prognosis information, and achieve the effect of improving final accuracy, reducing cost, and improving efficiency

Pending Publication Date: 2019-08-06
TIANJIN MEDICAL UNIV CANCER INST & HOSPITAL +2
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Problems solved by technology

Although the molecular biological mechanism of distant metastasis has been studied clinically, there is no reliable method to accurately judge many prognostic information including distant organ metastasis.

Method used

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  • Nasopharyngeal carcinoma distant metastasis predicting system based on deep learning algorithm
  • Nasopharyngeal carcinoma distant metastasis predicting system based on deep learning algorithm
  • Nasopharyngeal carcinoma distant metastasis predicting system based on deep learning algorithm

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Embodiment Construction

[0029] In the prediction of distant metastasis of nasopharyngeal carcinoma based on deep learning algorithm proposed by the present invention, the specific functions of each module are realized in the following ways:

[0030] The image acquisition module reads the digital images of pathological sections of nasopharyngeal carcinoma patients scanned completely (multiple ≥ 400 times, resolution ≥ 12000×12000), and manually or software analyzes the digital images of pathological sections of nasopharyngeal carcinoma patients The tumor cell area (resolution ≥ 1000×1000) is delineated, and a large number of digital images of nasopharyngeal carcinoma tumor pathological sections with known metastasis information stored in the acquisition module are used as the training set of the deep learning algorithm;

[0031] Image preprocessing module: cut the tumor area outlined in the image acquisition module, and use the gray threshold method and Otsu threshold method to filter the background of...

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Abstract

The invention discloses a nasopharyngeal carcinoma distant metastasis predicting system based on a deep learning algorithm. The predicting system comprises the following modules of: an image acquisition module, an image preprocessing module, a patient information collecting module, a distant metastasis predicting module based on the deep learning algorithm, and a predicting information output module. The system of the invention realizes risk predicting to nasopharyngeal carcinoma distant metastasis of a nasopharyngeal carcinoma patient. Compared with an analysis-diagnosis-treatment mode in which traditional molecular biological technology and gene sequencing and the like are used as main means, the system has advantages of improving efficiency in acquiring a diagnosis result and realizingpredictive judgment which cannot be independently performed by a clinical doctor.

Description

technical field [0001] The invention belongs to the field of computer-aided diagnosis systems, and more specifically, relates to a prediction system for distant metastasis of nasopharyngeal carcinoma based on deep learning algorithms. Background technique [0002] Nasopharyngeal carcinoma refers to malignant tumors that occur on the top and side walls of the nasopharyngeal cavity, and is one of the high incidence of malignant tumors in my country. The World Health Organization survey reported that 80% of nasopharyngeal cancer patients in the world are in China. The incidence of nasopharyngeal carcinoma is higher in southern China. According to reports, the incidence rate is 30 / 100,000 to 50 / 100,000 for men who live in central Guangdong Province and speak Cantonese dialect. As far as the whole country is concerned, the incidence rate of nasopharyngeal carcinoma gradually decreases from south to north, and the incidence rate in the far north is not higher than 2 / 100,000 to 3...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G06K9/62G16B30/00
CPCG16H50/30G16B30/00G06F18/241G06F18/214
Inventor 徐波刘晓峰尹珍珍苏苒金强国陈扬
Owner TIANJIN MEDICAL UNIV CANCER INST & HOSPITAL
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