Digital Signal Processing Reference
In-Depth Information
( a )
( b )
(c)
Figure 12.1
Typical fluorescence images of psoriasis (a), actinic keratosis (b), and a basal cell
carcinoma (c).
developed by Karhunen and Malaroiu to take advantage of the localized
features in high-dimensional data [132]. Using Kohonen's self-organizing
maps [140], multivariate data are first split into clusters and then local
features are extracted using ICA within these clusters.
Here, we intend to classify skin lesions ( basal cell carcinoma , actinic
keratosis ,and psoriasis plaques) through their fluorescence images (see
figures 12.1 and 12.2).
Even an experienced physician is unable to distinguish malignant
from the benign lesions when fluorescence images are taken. For the
Search WWH ::




Custom Search