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Real-time Low-cost Lymphoma & Breast Cancer Detection
I designed, developed, and tested deep learning image processing methods to automatically detect and classify potentially cancerous cells in real-time from a digital hologram. Combined with a GUI I designed for technicians to interact with my technology, I deployed this system on a Raspberry Pi. This is currently being used in Botswana to provide low-cost cancer screenings for people who may otherwise be unable to afford them. The development of this technology led to two publications in Nature and ACS Nano.