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Data prediction method and device

A data prediction and data technology, applied in the medical field, can solve problems such as the inability to predict lung nodules

Active Publication Date: 2020-01-17
HANGZHOU SHENRUI BOLIAN TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The main purpose of this application is to provide a data prediction method and device to solve the problem that the relevant parameter sharing method cannot predict the signs of pulmonary nodules in difficult lesions with high performance

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Embodiment Construction

[0046] In order to enable those skilled in the art to better understand the solution of the application, the technical solutions in the embodiments of the application will be clearly and completely described below in conjunction with the drawings in the embodiments of the application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work should fall within the protection scope of this application.

[0047] It should be noted that the terms "first" and "second" in the description and claims of the application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances for the purposes o...

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Abstract

The invention discloses a data prediction method and device. The method comprises the following steps: acquiring image data, wherein the image data is medical image data accommodating a focus; and based on a preset multi-task gradient integrated neural network model, predicting an image corresponding to the image data to obtain a prediction result, the preset multi-task gradient integrated neuralnetwork model being an integrated algorithm model capable of iteratively learning samples with classification errors. According to the method and the device, the problem that the related parameter sharing method cannot perform high-performance prediction on the symptoms of pulmonary nodules of difficult lesions is solved.

Description

Technical field [0001] This application relates to the medical field, and specifically to a method and device for data prediction. Background technique [0002] In the medical diagnosis problem, the diagnosis of a disease often requires multiple aspects to be judged. Taking the diagnosis of lung nodules as an example, doctors often diagnose benign and malignant on the basis of whether the nodule has burrs, whether the edges are clear, and whether the lobes are obvious. Related method parameter sharing method for data prediction. This method expresses the association between different tasks (the judgment of each sign as a task) as sharing the same low-level semantic information; for lung nodules in the same lesion On the one hand, the correlation between different tasks can improve the performance of sign prediction, but on the other hand, for the lung nodules in difficult lesions, that is, the signs do not share the same low-level semantic information, so it will make this type ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06N3/08G06T2207/10081G06T2207/10088G06T2207/20081G06T2207/20084G06T2207/30064G06T2207/30016G06V2201/03G06N3/045G06F18/214G06F18/24
Inventor 周振吴博烔卢光明李秀丽俞益洲
Owner HANGZHOU SHENRUI BOLIAN TECH CO LTD