Breast Cancer Foundation NZ
The Breast Atlas Project
What is the problem and who is affected?
Clinicians use several very different types of medical images – e.g. x-ray, MRI and ultrasound – to look for breast cancer. The images are so different that it can be hard for specialists to match features of interest (e.g. suspicious lesions) between the images, and for the human eye to tell whether or not a lesion is cancer. In some cases, these uncertainties can lead to false positives and unnecessary treatment.
What is this research hoping to achieve?
Professor Martyn Nash and his team at the Auckland Bioengineering Institute will use a $130,000 grant from BCFNZ to work on The Breast Atlas Project. They’re developing innovative technology right here in New Zealand that uses computer modelling and machine-learning to detect breast cancer. First, they must gather many medical images of the breast for the project’s database. This database will then be used to develop powerful new tools to detect breast cancer and to improve treatment strategies and care.
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OctoberResearch Grant
Using deep learning and digital pathology for detailed breast tumour analysis
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OctoberResearch Grant
Validation of a liquid biopsy to predict recurrence in NZ breast cancer patients
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OctoberResearch Grant
Predicting whether patients with HER2+ advanced breast cancer will respond to the drug Kadcyla
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JulyResearch Grant
The Breast Atlas Project
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JulyResearch Grant
Cancer EV catch-and-release – a new way of monitoring treatment effectiveness
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JulyResearch Grant
PERKing up immunotherapy in breast cancer