Skip to content

Latest commit

 

History

History
16 lines (13 loc) · 815 Bytes

readme.md

File metadata and controls

16 lines (13 loc) · 815 Bytes

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。


Any questions please contact 15670131688@163.com 有啥问题联系我,邮箱在上面呢。