An integrated system for feature evaluation of 3D images of a tissue specimen.
In this article we have proposed an integrated system for measurement of important features from 3D tissue images. We propose a segmentation technique, where we combine several methods to achieve a good degree of automation. Important histological and cytological three-dimensional features and strategies to measure them are described.
Umesh Adiga
P S
PS
Bio-Imaging Group, Lawrence Berkley National Laboratory, Berkley, CA 94705, USA. upadiga@lbl.gov
D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D017404:In Situ Hybridization, Fluorescence; D008297:Male; D018613:Microscopy, Confocal / Q000379:methods; D011471:Prostatic Neoplasms / Q000473:pathology