Session One:
MATLAB Fundamentals for Image Processing and Computer Vision
07 October 20 | 15:30 - 16:30 | Online via Zoom
Learn how to use computer vision and image processing techniques in MATLAB® to solve practical image analysis, automation, and detection problems using real-world examples. Explore the latest features in image processing and computer vision such as interactive apps, new image enhancement algorithms, data pre-processing, and deep learning.
Highlights:
Image Processing
- Image Preprocessing
- 3D Image Processing Workflows
- Image Analysis
- Image Segmentation
- Image Registration
- Acceleration and Deployment
Computer Vision
- Object detection and recognition
- Camera calibration & Stereo vision
- 3D point cloud processing
- Object Tracking and Motion Estimation
- Code Generation
- Deep Learning
Session Two:
MATLAB for Medical Imaging Applications
08 October 20 | 15:30 - 16:30 | Online via Zoom
MATLAB is a popular tool used by research and development engineers developing tomographic (MRI, CT, PT), ultrasound, intravascular, endoscopic imaging, and in-vitro diagnostic devices and technologies.
It's used for a variety of tasks from analyzing, enhancing, and visualizing medical images to developing advanced imaging algorithms deployed on PCs, embedded systems, and the cloud. Medical imaging applications are getting more complex, with a stronger need to not only automate the analysis, but also introduce machine learning techniques to automatically classify images faster and more accurately.
In this webinar, you'll learn about new image processing and computer vision capabilities relevant to the medical and healthcare industry segments.
Highlights:
Some of the task we will explore in developing advanced predictive models include:
- New Apps in MATLAB for Medical Imaging:
Introduction to apps and features to simplify image data exploration, processing, visualization, and algorithm development related to 3D images and semantic segmentation.
- Rapid Prototyping and Algorithm Development:
In a full case study, learn to develop complete image processing workflows quickly and scale up easily to large datasets.
- Image Processing Algorithm Deployment:
Introduction to deployment technologies that allows engineers developing algorithms in MATLAB to generate efficient code for processors, FPGAs, and GPU, to deploy them on local clusters or the cloud.
- Computer Vision Topics in Medical:
Applying various advanced computer vision techniques in biomedical imaging problems for object detection, tracking, and feature extraction (for machine learning workflows).
