Spatially-Invariant Vector Quantization for Image Analysis

Researchers at the University of Michigan Health System and their colleagues have developed a software tool that aims to make the detection of abnormalities in cell and tissue samples faster, more accurate, and more consistent. The technique, known as Spatially-Invariant Vector Quantization (SIVQ), can pinpoint cancer cells and other critical features from digital images made from tissue slides.