There is a constant need for new knowledge discovery in cancer biology; we do not yet fully understand the underlying mechanisms or behaviors of cancer. Speaking from the 2017 National Cancer Research Institute (NCRI) Conference, held in Liverpool, UK, Julia Schnabel, PhD, of Kings College London, London, UK, discusses how trained neural networks have aided in reducing the workload in cancer imaging analysis, as well as in other fields, helping to uncover trends and extrapolate data where it would be too arduous for a human.
How neural networks help with knowledge discovery in cancer imaging
