Pit Pattern Classification in Colonoscopy using Wavelets - WaveLab

Abstract
Computer assisted analysis of medical imaging data is a very important field of research.
One topic of interest in this research area is colon cancer detection. A new classification
method, namely the pit pattern classification scheme, developed some years ago delivers
very promising results already. Although this method is not yet used in practical medicine,
it is a hot topic of research since it is based on a fairly simple classification scheme.
In this work we present algorithms and methods with which we try to classify medical
images taken during colonoscopy. The classification is based on the pit pattern classification
method and all methods are highly focused on different wavelet methods. The methods
proposed should help a physician to make a pre-diagnosis already during colonoscopy, although
a final histological finding will be needed to decide whether a lesion is malignant or
not.
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