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METHOD AND DEVICE FOR DETECTING PULMONARY NODULE IN CT IMAGE, AND READABLE STORAGE MEDIUM

机译:CT图像和可读存储介质中肺结节的检测方法和装置

摘要

A method and device for detecting a pulmonary nodule in a computer tomography (CT) image, and a readable storage medium; the method for detecting a pulmonary nodule in a CT image comprises: obtaining an electronic CT image to be detected, performing pixel division processing on the CT image by means of a pre-stored three-dimensional convolutional neural pixel division network to obtain a probability map corresponding to the CT image, and performing connected-component labeling on the probability map to obtain a candidate nodule region (S10); predicting the candidate nodule region by means of a plurality of models corresponding to different pre-stored three-dimensional convolutional neural network classifiers to obtain respective probability prediction values corresponding to the candidate nodule region, and performing fusion processing on said respective probability prediction values to obtain a classification result of the candidate nodule region (S20). Thus, the present method improves the accuracy of the automated detection of pulmonary nodules in CT images.
机译:一种用于在计算机断层扫描(CT)图像中检测肺结节的方法和装置以及可读存储介质;该CT图像中的肺结节的检测方法,包括:获取待检测的电子CT图像,通过预先存储的三维卷积神经像素分割网络对该CT图像进行像素分割处理,得到概率图。对应于所述CT图像,对所述概率图进行连通成分标注,得到候选结节区域(S10);通过与不同的预存三维卷积神经网络分类器对应的多个模型对候选结节区域进行预测,得到与候选结节区域相对应的各个概率预测值,对所述各个概率预测值进行融合处理,得到候选结节区域的分类结果(S20)。因此,本方法提高了CT图像中肺结节的自动检测的准确性。

著录项

  • 公开/公告号WO2020000643A1

    专利类型

  • 公开/公告日2020-01-02

    原文格式PDF

  • 申请/专利权人 SHENZHEN IMSIGHT MEDICAL TECHNOLOGY CO. LTD;

    申请/专利号WO2018CN104189

  • 发明设计人 DOU QI;LIU QUANDE;CHEN HAO;

    申请日2018-09-05

  • 分类号G06T7;G06T7/11;G06T7/187;G06T3/40;

  • 国家 WO

  • 入库时间 2022-08-21 11:14:07

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