GUI-fying to build DL Model (Classification)
Actualizada 23 Apr 2020
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.
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
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
Deep Learning Toolbox (R2020a)
If you are using MATLAB version R2019a/R2019b, you may consider to use transfer learning app (Community App)
Kevin Chng (2022). 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. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformasWindows macOS Linux
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!