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

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• "Image Processing" virtual workshop - Processing Images Using ImageJ
• "X-ray Computed Tomography" virtual workshop - CT Data Analysis Techniques Using ImageJ
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• "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