Biomedical Data Analytics News
TIA Centre Spotlight: Arwa Alrubaian
In the first of the TIA Centre's new Spotlight series, we introduce Arwa AlRubaian, a Postgraduate Researcher in the centre who has recently passed her viva. Read more about Arwa's career journey so far and current work here.
TIAToolbox v2.0.0: A Major Upgrade for Scalable, OpenSource Computational Pathology
The Tissue Image Analytics (TIA) Centre is pleased to announce the release of TIAToolbox v2.0.0, a major update to the opensource platform widely used for digital pathology and AI-driven tissue image analysis. TIAToolbox provides an end-to-end framework for working with whole slide images (WSIs), covering data loading, pre-processing, deep learning inference, postprocessing, and visualisation. It is designed for clinical, biomedical, and computational researchers and supports a broad range of pathology image analysis tasks. Read more.
TIA Researcher Celebrates Viva Success
We are delighted to announce that one of the TIA Centre’s PhD students, Arwa Ali Al-Rubaian, officially defended their PhD viva last last week - congratulations Arwa!
Arwa’s research, was titled Algorithms for Growth Pattern Based-Analysis of Lung Adenocarcinoma Histology. Read more.