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Article in English | MEDLINE | ID: mdl-18002815

ABSTRACT

Nowadays, biomedical images of the human body are an invaluable source of information that clinicians can use in order to make a correct and final diagnosis. Their use is widespread in almost every branch of medicine. In some cases, computer-aided diagnosis (CAD) tools have received approval for being used without any human intervention and validation, like, for example, in breast cancer detection relying on X-rays mammograms. In this paper we present a framework for building CAD tools based on the well-known software design patterns and an implementation of the first modules of a CAD tool for computed tomography (CT) colonography.


Subject(s)
Algorithms , Artificial Intelligence , Colonography, Computed Tomographic/methods , Imaging, Three-Dimensional/methods , Pattern Recognition, Automated/methods , Radiographic Image Interpretation, Computer-Assisted/methods , User-Computer Interface , Humans , Radiographic Image Enhancement/methods , Reproducibility of Results , Sensitivity and Specificity
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