Research Article17 Oct 2026Vol. 19 · Issue 10
Omar Younis Altaey and Shahbaa Khalil AL-Taee
This study compared three open-source ML models, Trainable Weka Segmentation (TWS), Ilastik, and Fiber-ML, for segmentation and quantitative assessment of bovine liver fibrosis and evaluated their diagnostic performance, agreement with METAVIR staging, and co…
Abstract / descriptionThis study compared three open-source ML models, Trainable Weka Segmentation (TWS), Ilastik, and Fiber-ML, for segmentation and quantitative assessment of bovine liver fibrosis and evaluated their diagnostic performance, agreement with METAVIR staging, and computational efficiency.