Deep Learning With Pytorch For Medical Image Analysis

Category: Tutorial

Posted on 2021-11-23, by raymanhero.


Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 3.64 GB | Duration: 12h 0m

Did you ever want to apply Deep Neural Networks to more than MNIST, CIFAR10 or cats vs dogs

What you'll learn

Learn how to use NumPy

Learn classic machine learning theory principals

Foundations of Medical Imaging

Data Formats in Medical Imaging

Creating Artificial Neural Networks with PyTorch

Use PyTorch-Lightning for state of the art training

Visualize the decision of a CNN

2D & 3D data handling

Automatic Cancer Sntation


Do you want to learn about state of the art Machine Learning frameworks while snting cancer in CT-images

Then this is the right course for you!

Welcome to one of the most comprehensive courses on Deep Learning in medical imaging!

This course focuses on the application of state of the art Deep Learning architectures to various medical imaging challenges.

You will tackle several different tasks, including cancer sntation, pneumonia classification, cardiac detection and many more.

The following topics are covered:


Machine Learning Theory

Test/Train/Validation Data Splits

Model Evaluation - Regression and Classification Tasks

Tensors with PyTorch

Convolutional Neural Networks

Medical Imaging

Interpretability of a network's decision - Why does the network do what it does

A state of the art high level pytorch library: pytorch-lightning

Tumor Sntation

Three-dimensional data

and many more

Why choose this specific course

This course provides unique knowledge on the application of deep learning to highly complex and non-standard (medical) problems (in 2D and 3D)

All lessons include clearly summarized theory and code-along examples, so that you can understand and follow every step.

Powerful online community with our QA Forums with thousands of students and dedicated Teaching Assistants, as well as student interaction on our Discord Server.

They will learn skills and techniques that the vast majority of AI eeers do not have!


Jose, Marcel, Sergios & Tobias

Who this course is for:

Python developers and Machine Learning eeers who want to learn how to tackle real world problems occurring on a daily basis in the field of medical imaging with the help of Deep Convolutional Neural Networks.

Everybody who wants to learn more about the joint field of AI and Medical Imaging & how it works

Developers familiar with basic Deep Learning knowledge who want to apply their skills to more than toy problems

Medical professionals interested in how AI actually works in medicine

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Deep Learning With Pytorch For Medical Image Analysis

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