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Research

Differential cell counts using center-point networks achieves human-level accuracy and efficiency over segmentation

Differential cell counts is a challenging task when applying computer vision algorithms to pathology. Existing approaches to train cell recognition require high availability of multi-class segmentation and/or bounding box annotations and suffer in performance when objects are tightly clustered.

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Please contact the team early (at the stage of project design and budgeting) to ensure the most appropriate physiological test is selected with adequate funding.

Focus areas for the Centre

Learn more about the Focus areas for the Wal-yan Respiratory Centre

Artificial Intelligence

The Artificial Intelligence team at the Wal-yan Respiratory Research Centre is dedicated to delivering AI solutions for major challenges in respiratory healthcare and research.

Aboriginal Respiratory Health

Respiratory illness accounts for 12% of the age-standardised gap in mortality between Indigenous and non-Indigenous Australians.