GUI-fying to build DL Model (Classification)

版本 1.0 (122.9 MB) 作者: Kevin Chng
Build Detection and Diagnosis Tools of Covid-19 on Chest Radiographs. Everything is in GUI.
177.0 次下载
更新时间 2020/4/23

Author

Kevin Chng

Overview

This example provides the workflow how to build deep learning model using GUI applications in MATLAB. I was inspired from a MathWork's blog posted by Johanna Pingel (Link : Covid-19 Medical image Detection). It describes how to build detection and diagnosis tools of COVID-19 radiography image, it offers a valueble second opinion to the doctors and assit them in the screening process. This type of mechanism would also assist in providing results to the doctors quickly.
In my example, we are fying through the GUI to build a deep learning (DL) model to detect COVID-19 on Chest Radiography using MATLAB.

Dataset

1) COVID-19 Radiography Medical Image, I randomly extract 90 images from COVID-19 dataset curated by Dr. Joseph Cohen.
2) Normal Chest Radiography Medical Image, I reandomly extract 90 images from Kaggle dataset posted by Paul Mooney

Highlights

Understand the concept of AI and Transfer Learning
Learn how to train Classificaion Model using Transfer Learning
Learn how to build deep learning model using Deep Network Designer
Learn how to fine tune the deep learning model using Experiment Manager

Product Focus

MATLAB (R2020a)
Deep Learning Toolbox (R2020a)
If you are using MATLAB version R2019a/R2019b, you may consider to use transfer learning app (Community App)

引用格式

Kevin Chng (2024). GUI-fying to build DL Model (Classification) (https://github.com/KevinChngJY/GUI-fying-to-Build-Deep-Learning-Model-for-Classification-Problem/releases/tag/1.0), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2020a
与 R2020a 及更高版本兼容
平台兼容性
Windows macOS Linux
类别
Help CenterMATLAB Answers 中查找有关 Biological and Health Sciences 的更多信息
标签 添加标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
版本 已发布 发行说明
1.0

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库