How Deep Learning Can Help Us Identify Cancer Cells

Tackling cancer remains notoriously difficult, not to mention expensive.  A team from UCLA have developed a clever technique for identifying cancer cells much faster than is currently the case. The method, which was documented in a recent study, takes a different stance to the current labeling approach that can fall down due to inaccuracy. Instead, the new method captures an image of the cells without harming them.  It’s capable of detecting 16 different physical characteristics, such as its biomass, granularity and size. Smarter Microscopes The method takes advantage of a couple of UCLA inventions, including a photonic time stretch microscope and a deep learning algorithm that is capable of identifying cancer cells with high levels of accuracy. The team believe that the microscope is just one of the possible applications of…


Link to Full Article: How Deep Learning Can Help Us Identify Cancer Cells