Fundamentals of Brain Tumour Detection – Models and Error Processing Methods

Michal Kvet, Karol Matiaško

Abstract


The field of medicine is one of the most important spheres of the current research. The aim of the paper is to develop new and improve existing diagnostic techniques and related therapies methods. Cancer in any form is a serious disease and often results in death of the patient. This paper deals with the principles of modelling and visualization of the brain anomaly or tumour in connection with the detection and localization of anomalies. The project focuses on detecting brain anomalies based on specific brain tumour markers present in the cells, but is independent and can be used in the detection of tumors in any organ of the human body. This paper also deals with the problems of processing the results of magnetic resonance, where the results of the measurement can be inaccurate - the error rate of the processing is relatively high. In this case, these data may be considered as incorrect and must be processed (replaced) to get more reliable and relevant values. The last part describes the advantages of the proposed solution in comparison with other applications, its limitations as well as the new modules, which could improve and extend the implemented application.


Full Text: PDF DOI: 10.5539/cis.v7n1p67

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Computer and Information Science   ISSN 1913-8989 (Print)   ISSN 1913-8997 (Online)
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