In this paper a novel approach to automatic XRAY images classification is proposed. The authors propose a solution based on application of Computational Intelligence to assist recognition procedure for medical purposes. Recognition experiments have been performed with the proposed solutions applied on original and authentic X-RAY images from pulmonary diseases clinics, where various diseases were diagnosed. The applied classifier was made to recognize sarcoidosis or cancer over input images. Presented research results are discussed to validate the efficiency of implemented solution.
A Novel Approach Toward X-RAY Images Classifier / Wozniak, M; Polap, D; Kosmider, L; Napoli, C; Tramontana, E. A.. - (2015), pp. 1635-1641. (Intervento presentato al convegno IEEE Symposium Series on Computational Intelligence, SSCI 2015 tenutosi a Cape Town; South Africa) [10.1109/SSCI.2015.230].
A Novel Approach Toward X-RAY Images Classifier
Napoli C
;
2015
Abstract
In this paper a novel approach to automatic XRAY images classification is proposed. The authors propose a solution based on application of Computational Intelligence to assist recognition procedure for medical purposes. Recognition experiments have been performed with the proposed solutions applied on original and authentic X-RAY images from pulmonary diseases clinics, where various diseases were diagnosed. The applied classifier was made to recognize sarcoidosis or cancer over input images. Presented research results are discussed to validate the efficiency of implemented solution.| File | Dimensione | Formato | |
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