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Haipeng Li is about to complete a PhD in Software Engineering at UC after spending the last three years working on computational algorithms that can automatically read and analyse mammogram x-rays.
The algorithms he has developed, with UC Professor Ramakrishnan Mukundan and radiologist Dr Shelley Boyd at Pacific Radiology in Christchurch as his supervisors, have been shown to accurately detect two markers linked to increased risk of breast cancer.
He hopes the research will eventually help radiologists identify cancers at an early stage when they can be treated more successfully.
“Early detection through routine mammograms plays an important role in preventing breast cancer deaths,” Li says. “But reading and interpreting suspicious regions in mammograms is repetitive and challenging work.
Thursday, 6 May 2021, 11:13 am
A University of Canterbury (UC) student has come up with
a new computerised method of reading mammograms that could
help radiologists detect warning signs of breast
cancer.
Haipeng
Li is about to complete a PhD in Software Engineering at
UC after spending the last three years working on
computational algorithms that can automatically read and
analyse mammogram x-rays.
The algorithms he has
developed, with UC
Professor Ramakrishnan Mukundan and radiologist Dr
Shelley Boyd at Pacific Radiology in Christchurch as his
supervisors, have been shown to accurately detect two
markers linked to increased risk of breast cancer.
He