Fall-2020 Lecture series

This lecture series is part of the Asi@Connect project Intelligent Medical Services over TEIN.

Deep Learning (DL) has the potential to change the future of healthcare. The use of Artificial Intelligence (AI) has become increasingly popular and is now used, for example, in cancer diagnosis and treatment. Deep learning for computer vision enables a more precise medical imaging and diagnosis. In this lecture series we will cover the fundamentals of neural networks, along with the application of more advanced neural models in medical imaging. Furthermore, both Pytorch and Tensorflow hands-on tutorials will be provided as well.

Instructor

Wajahat Ali Khan

Assistant Professor

Kyung Hee University, South Korea

Course Content

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Lessons Status

Fall-2020 Lecture series

Course Content

Deep Learning Introduction

This lecture will provide basic overview of neural networks family of algorithms evolution.

Convolutional Neural Networks (CNN) for Medical Images

This lecture will describe the process of CNN and its working on medical imaging.

Recurrent Neural Networks (RNN)

This lecture will describe the working of RNN with medical domain applications.

Pytorch Tutorial

This lecture will demonstrate the use of Pytorch in working on medical domain.

Tensorflow Tutorial

This lecture will demonstrate the use of Tensorflow in working on medical domain.

Written by Usman Akhtar

Fall-2020 Lecture series

Fall-2020 Lecture series

Course Content

Deep Learning Introduction This lecture will provide basic overview of neural networks family of algorithms evolution.

Convolutional Neural Networks (CNN) for Medical Images This lecture will describe the process of CNN and its working on medical imaging.

Recurrent Neural Networks (RNN) This lecture will describe the working of RNN with medical domain applications.

Pytorch Tutorial This lecture will demonstrate the use of Pytorch in working on medical domain.

Tensorflow Tutorial This lecture will demonstrate the use of Tensorflow in working on medical domain.

Written by Usman Akhtar

Deep Learning Introduction

This lecture will provide basic overview of neural networks family of algorithms evolution.

Convolutional Neural Networks (CNN) for Medical Images

This lecture will describe the process of CNN and its working on medical imaging.

Recurrent Neural Networks (RNN)

This lecture will describe the working of RNN with medical domain applications.

Pytorch Tutorial

This lecture will demonstrate the use of Pytorch in working on medical domain.

Tensorflow Tutorial

This lecture will demonstrate the use of Tensorflow in working on medical domain.