模型可视化>> MSDS19041_COVID19_DLSpring2020>> 返回
项目作者： nauman-akram

项目描述 ：
“COVID-19 x-ray image classification”
高级语言： Jupyter Notebook
项目地址: git://github.com/nauman-akram/MSDS19041_COVID19_DLSpring2020.git


Images_Classification (PyTorch)

Detecting corona-virus (Covid-19) Infections in Chest X-Ray images through Transfer Learning

Find dataset here: https://drive.google.com/file/d/1-HQQciKYfwAO3oH7ci6zhg45DduvkpnK/view

Using Vgg-16 and ResNet-18 pretrained models from pytorch and finetuning just only fully-connected layer of network at first so that they can learn on the learned filters of ImageNet and detect the difference between infected and normal person\’s X-ray images.

Vgg-16

> Vgg-16 fine-tuned only FC layers

Accuracy curves Loss curves

Confusion Matrix

Test Validation

> Vgg-16 fine-tuned Entire network

Accuracy curves Loss curves

Confusion Matrix

Test Validation

ResNet-18

> Resnet-18 fine-tuned only FC layers

Accuracy curves Loss curves

Confusion Matrix

Test Validation

> Resnet-18 fine-tuned Entire network

Accuracy curves Loss curves

Confusion Matrix

Test Validation

“This repository contains code and results for COVID-19 classification assignment by Deep Learning Spring 2020 course offered at Information Technology University, Lahore, Pakistan. This assignment is only for learning purposes and is not intended to be used for clinical purposes.”