Cancer

摘要

cludes 13 descriptors of size, 14 ways to describe location, 12 descriptors of shape, three different ways to measure volume, 17 ways to describe histogram intensity and three different types of texture measurements. The algorithm also looks at co-occurrence matrices 17 ways, 30 different wavelets and a total of 125 different Law features. The result is a very finely delineated lung tumor segmentation. This represents an encouraging advance in lung-tumor imaging, but it is not limited to lung cancer. The same concept can be used for a variety of cancers, including breast, prostate and pancreatic.