Data Analytics and Medical Image Processing with MATLAB
Location: Max Planck Institute for Brain Research Venue: Lecture Hall Date: October 8th, 2015 Time: 09:30 - 15:00
MATLAB® is a high-level language and interactive environment for numerical computation, visualization, and programming. In this seminar we will be how MATLAB will help you to process, visualize, and quantify your experimental data as well as biomedical images.
Using examples of medical applications, we will first demonstrate how you can leverage MATLAB to explore your data and make predictions using machine learning techniques such as neural networks.
Furthermore, you will learn about to use computer vision to detect objects in images as well as classify images using new functionalities for feature extraction, pattern recognition and classification, handling large sets of images.
Finally, we will demonstrate simple ways to improve and optimize your code that can boost execution speed. We will also address common pitfalls in writing MATLAB code, explore the use of the MATLAB Profiler to find bottlenecks, and introduce programming constructs to solve computationally and data-intensive problems on multicore computers, clusters and GPUs.
Accessing, exploring, analyzing, and visualizing data in MATLAB
Training, evaluating and comparing a range of machine learning models such neural networks to build predictive models
Handling a large set of images
Automatic object recognition and tracking
Feature extraction and Image classification
Optimizing the performance of your MATLAB code
Exploratory and predictive data analytics
Data import and visualization
Tools for algorithm development
Predictive modelling using machine learning techniques
Medical Image processing and Computer Vision
Image enhancement and registration
Classification of images
Speeding up your MATLAB code
Performance optimization of serial code
Techniques for explicit parallelization
Automatic generation of standalone C code