/COVID-19-Detection

CT, Novel coronavirus, detection, Resnet neural network

Primary LanguageJupyter NotebookMIT LicenseMIT

Detecting COVID-19 by Resnet neural network

基于残差网络的新冠肺炎识别

Description

We created a coronarius virus decting model by using the CT data from data_link. We used the Reset network to extract CT's features and result show a state of art perfermance.

细节描述

基于残差网络和迁移学习,做了新冠肺炎检测模型,通过CT结果来判别是否为新冠肺炎患者。结果也不孬。

Structure

All the code are provide in the colab and we used fastai package g, which is a high level api of pytorch.

说明

代码都在colab里面啦,用的是fastai这个库,不会的同学得学一下子哈。


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