Automated morphometric analysis in peripheral neuropathies

We describe a three-step algorithm for the morphometric analysis of color i mages of nerve specimens, currently used in the diagnosis of peripheral neu ropathies. The algorithm first segments the images by applying a clustering method in the color space. It then identifies and eliminates irrelevant re gions and, in the final step. calculates the diagnostic parameters required for clinical analysis. The results obtained on 25 images are reported and compared with corresponding measurements made by neurologists. (C) 1999 Els evier Science Ltd. All rights reserved.