Authors:
Bruno Barufaldi
1
;
Sarah Soares de Oliveira
1
;
Leonardo Vidal Batista
1
;
Homero Schiabel
2
and
Manuella Santos Carneiro Almeida
3
Affiliations:
1
Univerisdade Federal da Paraíba, Brazil
;
2
Universidade de São Paulo, Brazil
;
3
Governo da Paraíba, Brazil
Keyword(s):
Breast cancer, Quality control, Visual perception, Breast phantom and Microcalcifications.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Detection and Identification
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
Abstract:
Breast cancer control represents one of the greatest challenges that public health service faces nowadays. In order to decrease the death rate from cancer in women, the AGEVISA-PB implemented a Mammography Quality Control Programme to improve the performance of mammographic equipment in Paraiba - Brazil. The evaluation method of these devices is accomplished through breast phantoms that simulate structures found on a mammogram in order to assure the quality of radiographic images. Even so, evaluation by technicians still suffers limitations caused by the visual inspections by individuals, such as long-time benchmarking and subjectivity. The main purpose of this research is to develop a computerised system that analyses radiological images of phantom MAMA-CDM and correlates with human visual perception. The results indicate that the system developed can be used as a second opinion, thus becoming a tool of great utility in aiding medical diagnosis.