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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:7045</identifier>
                <datestamp>2019-05-30T11:21:56Z</datestamp>
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                    <dim:field mdschema="dc" element="title" lang="en">Software System for Automated Assessment of the Breast Cancer Risk from Mammograms</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2018</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/7045</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://www.eventiotic.com/eventiotic/library/paper/386</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0002-5438-5757" confidence="-1">I. Radosavljević</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="etfid:809" confidence="-1">A. Mitrović</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="etfid:653" confidence="-1">Z. Konjović</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="etfid:794" confidence="-1">Đ. Obradović</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:27395" confidence="-1">V. Malbaša</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">This paper will present a new software system that enables automated assessment of the breast cancer risk from the mammographic images. The aim of the system is to provide for a quick and efficient detection of all potentially malignant abnormalities from the mammograms and determination of preliminary malignancy risk for each. Such preliminary risk assessment could, further, be used either to terminate the procedure (small risk), or as a priority by which the patient will be scheduled for following procedural steps. The system extracts the data necessary for risk assessment from the mammogram. For that purpose methods for digital image processing and analysis are used. Interpretation of the extracted data and the final risk assessment require a method capable to deal with imprecise and incomplete knowledge because no exact mathematical model for estimation of potentially malignant abnormalities risk exists. Therefore, risk assessment is implemented by means of a fuzzy controller capable to imitate the work of a human expert / radiologist. The paper presents architecture of the system for automated assessment of the breast cancer risk from mammograms, some specific details of its implementation, and discussion of the system’s accuracy.</dim:field>
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                    <dim:field mdschema="dc" element="citation" qualifier="spage">122</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="epage">127</dim:field>
                    <dim:field mdschema="dc" element="source">ICIST 2018 Proceedings Vol.1</dim:field>
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