A COMPUTER AIDED ANALYSIS ON DIGITAL IMAGES

Purpose of this work is the development of an automatic system which can be useful for radiologists in the investigation of breast and lung cancer. A breast neoplasia is often marked by the presence of microcalcifications and massive lesions in the mammogram. The first are a very small object in a noise background and the second are large object with particular shape. The need for tools able to recognize such lesions at an early stage is therefore apparent. In this article is shown an application of artificial neural network on the imaging analysis in mammography. The results obtained in terms of sensitivity and specificity when it has been tested alone and then used as second reader will be presented. We present also an overview about the methods developed for pulmonary nodule detection in CT images and the preliminary results obtained with a pre-processing filter will be also presented.