Advanced Deep Learning Algorithms for Automated Breast Cancer Histology Slide Evaluations

Status: Complete
Year: 2018
Funded: $5,000
Grant Type: Grant in Aid

Present day digital scanners can convert pathology glass slides into whole-slide images at high resolutions. This project aims to use this technology to develop automated computerized assessment tools for breast cancer grading using advanced machine learning algorithms. The system will help pathologists to accurately measure and evaluate prognostic biomarkers.

Researcher // Associate Professor Ramakrishnan Mukundan – University of Canterbury


What is breast cancer?

Breast Cancer is the uncontrolled growth of abnormal breast cells. Breast Cancer is not caused by a bacteria or a virus and is not contagious. Normally cells are created, grow and die in a controlled way. However, when abnormal changes occur in the genes which usually regulate this orderly process, normal gene function can be turned on or off. Damaged cells are then able to keep growing and dividing and a tumour is formed. A tumour in the breast can be benign (usually not life-threatening) or malignant (cancerous). Although a benign tumour may cause problems as it grows, it does not spread to other parts of the body. On the other hand, a malignant tumour does have the potential to grow and spread to form secondary tumours. When this happens, it’s called advance, metastatic or secondary breast cancer.

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3,300 women are diagnosed with breast cancer each year in New Zealand.
Women diagnosed daily in New Zealand, 1 will be Maori.
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Will be aged 50+ at time of diagnosis.
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Survival rate if cancer detected by regular mammogram.

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