COVID-19 classification and identification method based on lung CT image

The invention discloses a COVID-19 classification and identification method based on lung CT images, and the method comprises the steps: collecting a normal lung CT image, a lung tumor CT image and aCOVID lung CT image, obtaining three sample subsets, and forming a sample set; respectively pre-train...

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Hauptverfasser: REN HAILING, ZHU LIJUN, WANG XIAOFENG, HUO BINGQIANG, LU HUILING, DONG YALI, ZHOU TAO
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a COVID-19 classification and identification method based on lung CT images, and the method comprises the steps: collecting a normal lung CT image, a lung tumor CT image and aCOVID lung CT image, obtaining three sample subsets, and forming a sample set; respectively pre-training three convolutional neural networks, namely AlexNet, GoogleNet and ResNet, by adopting a transfer learning method to respectively obtain initialization parameters of the three convolutional neural networks; respectively inputting the sample set into three pre-trained convolutional neural networks to obtain three individual classifiers; and integrating the three individual classifiers by adopting an ensemble learning method to obtain an ensemble classifier model. The overall classification performance of the integrated model is superior to that of an individual classifier, evaluation indexes such as specificity and sensitivity are high, and the requirement for rapid recognition of COVID-19 lung CT images can be