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Machine Learning has proven to be extremely useful for tackling many problems where human intelligence was assumed to be explicitly required. One such application area is biomedical imaging, where deep learning has proven very effective in recognizing patterns to help deliver accurate medical diagnoses. However there are still many open problems in this area, and our goal is to have a go at some of them.
The aim of this project is to Investigate Machine Learning (ML) methods for medical imaging, hoping to automate tasks that are often challenging, time-consuming, and would otherwise require a high level of medical expertise.
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