Cancer quantification from data mining to artificial intelligence

omputing technologies have been widely used in medicine especially in critical situation such as cancer. Numerous informative data is generated and digitalized day by day. Through computing technologies, the cancer statistics can be established in time and become more informative. Data mining is firstly used in exploring textual information. Using regular expressions and fuzzy searching of relevant keywords can approximate to automatic string matching. Reports are hand-made which shrunk information by subjective opinions and individual considerations. Observing cancer itself, imaging modalities such as computed tomography (CT) and magnetic resonance imaging (MRI) can exhibit tissue composition in a non-invasive way. The image analysis requirement strengthens the importance of computing technologies. Even volume measurement should be a basic procedure to estimate tumor status, counting voxels by human beings is not a practical solution. The further feature extraction and prediction model establishment are also accomplished via the quantification by computing and statistical analysis. Three research articles are introduced here to show the roles of data mining, volume measurement, and computer-aided diagnosis (CAD) systems on cancers in clinical use.