1996
@article{SFA1996,
vgclass = {refpap},
author = {A. Schenone and F. Firenze and F. Acquarone and M. Gambaro
and F. Masulli and L. Andreucci},
title = {Segmentation of Multivariate Medical Images via
Unsupervised Clustering with ``Adaptive Resolution''},
journal = {Computerized Medical Imaging and Graphics},
volume = {20},
number = {3},
pages = {119--129},
year = {1996},
abstract = {The need for quantitative information is becoming
increasingly important in the clinical field. In this paper we present
an interactive X11 based system, devoted to segmentation of
multivariate medical images, including an unsupervised neural network
approach to clustering. The following steps are considered in the
analysis sequence: feature extraction, reduction of dimensionality,
unsupervised data clustering, voxel classification, interactive
post-processing refinement. The environment turns out to be extremely
interactive, thus making the user able to display and modify data
during processing, to set parameters, to choose different methods and
different tools for each step, and to define online the whole analysis
sequence.},
}