Dear AuntMinnie Member,
A series of presentations at last week's Computer Assisted Radiology and Surgery (CARS) meeting addressed ongoing refinements being made to computer-aided detection (CAD) algorithms for a wide range of applications.
As reported by staff writer Eric Barnes, studies were presented at the CARS show aiming to improve CAD's ability to detect and evaluate breast tumors, and to detect emphysema on CT lung studies. We're featuring these articles and more from the CARS meeting in our Advanced Visualization Digital Community.
In the first study, Japanese researchers looked at whether adding architectural distortion to CAD software's search criteria would improve its ability to detect tumors. They were successful in finding some cancers that conventional CAD systems missed, but also had a relatively high rate of false positives. Learn more about their research by clicking here.
In the second presentation, another Japanese group discussed its work in developing a CAD algorithm designed to use CT lung studies to detect signs of emphysema. According to their research, their algorithm compared well with pulmonary function tests -- find out how well by clicking here.
Read about these studies and more news in the world of CAD, 3D, and other new technologies in our Advanced Visualization Digital Community, at av.auntminnie.com.
