Overview

Medical images come from multiple sources such as MRI, CT, X-ray, ultrasound, and PET/SPECT. Engineers and scientists must 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 demonstrates 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 image data and metadata from specialized medical file formats, such as DICOM, NIfTI, and NRRD
• Interactively labeling ground truth data for AI workflows
• Segmenting 2D images or 3D volumes into regions such as bones, tumors, or organs using traditional or deep learning techniques.