Medical Image Analysis and AI Workflows in MATLAB

 Medical images come from multiple sources such as MRI, CT, X-ray, ultrasound, and PET/SPECT. The challenge is to visualize and analyze this multi-domain image data to extract clinically meaningful information and conduct other tasks such as training AI models.

MATLAB provides tools and algorithms for end-to-end medical image analysis and AI workflows – I/O, 3D visualization, segmentation, labeling and analysis of medical image data. This webinar shows the complete medical image analysis workflow for AI applications. You will learn how to import visualize, segment and label medical image data and utilize these data in AI model training.

Highlights

Importing and visualizing multi-domain DICOM medical images

Segmenting and labeling 2D and 3D radiology images

Designing and training AI and deep learning models

Learn more:

Discover the new Medical Imaging Toolbox: https://bit.ly/3Yyc6Ch

AI for Medical Devices and Digital Health: https://bit.ly/3pSNfgt

Chapters:

0:00 Introduction to medical image analysis in MATLAB 

3:21 Image Preparation and LabelingMED 

5:21 Image Preparation and Labeling Demo 

20:52 Model Design and Training 

25:31 Model Design and Training Demo 

40:21 Beyond Training: Tuning, Verifying & Deployment 

50:04 Summary