Mini Tutorials - X-ray CT Explained with ImageJ 5. Machine Learning Segmentation by Weka
Mini Tutorial series Episode 5 shows how you can use machine learning (Weka) to segment challenging images with noise and uneven gray levels. The tutorial uses open-source FIJI/ImageJ, and the images used in the tutorial are available for download below.
Resources
- Learn more about Weka: https://www.cs.waikato.ac.nz/ml/weka/
- Download sample images: X-ray CT explained with ImageJ sample data 5
You might also like:
- "Image Processing" virtual workshop - Processing Images Using ImageJ
- "X-ray Computed Tomography" virtual workshop - CT Data Analysis Techniques Using ImageJ
- "X-ray Computed Tomography" virtual workshop - CT Data Analysis Techniques using Dragonfly Part 2
- "Ask the Expert" webinar - Deep Learning Image Segmentation - Practical Knowhow by Dr. Mike Marsh
- "X‑ray Computed Tomography for Materials & Life Sciences" webinar - Data Analysis
- "Let's Talk X‑ray Imaging" blog article - How to Get Started with X‑ray CT Image Analysis in 3 Steps
- "Let's Talk X‑ray Imaging" blog article - Best CT Analysis Software

Contact Us
Whether you're interested in getting a quote, want a demo, need technical support, or simply have a question, we're here to help.

Subscribe to the X-ray CT Email Updates newsletter
Stay up to date with CT news and upcoming events and never miss an opportunity to learn new analysis techniques and improve your skills.