Norbert Tóth

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This document presents the computer aided diagnosis system being developed to help experts in screening mammography. It is a very important project because about 8 % of women develop breast cancer in her lifetime therefore global screening is necessary. It means that reliable diagnosis of huge number of images must be solved. The basic architecture of the(More)
– This paper discusses a hybrid system for detecting masses in mammographic images. The proposed approach analyses the mammograms in three major steps. First a global segmentation method is applied to find the regions of interest. This step uses texture features, decision trees and a multiresolution Markov Random Field model. The second stage works on the(More)
This paper presents a combined system for detecting microcalcifications in mammographic images. The proposed approach analyses the mammograms using the parallel combination of two methods. One of the methods is a heuristic approach that is based on features used by humans to descript microcalcifications. Second approach applies a hierarchical neural(More)
During a regular veterinary inspection of fishes from Lake Balaton, Hungary, echinostomatid metacercariae (Digenea), with collar spines characteristic of species of the genera Petasiger Dietz, 1909 and Paryphostomum Dietz, 1909, were found in the lateral line scales of a roach Rutilus rutilus (Linnaeus), an apparently unique site. In a subsequent(More)
This paper presents a combined system for detecting masses in mammographic images. The proposed approach analyses the mammograms in three major steps. First a global segmentation method is applied to find the regions of interest. This step uses texture features, decision trees and a multiresolution Markov Random Field model. The second stage works on the(More)
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