Computer Vision Is Transforming Healthcare With Rapid Cell Counting And Patient Identification
Cell counting and image recognition It has been more than a century since Louis-Charles Malassez invented the hemocytometer, a chamber designed to count red blood cells accurately. Fast forward to the present day and computer vision is being used to identify and count cell nuclei not only more accurately than people can count, but far faster. To accomplish this, an AI model is trained to identify cell nuclei. From there sample images are annotated, and then machine learning models generate neural networks....