C.D. Katsis

Work place: Technological Educational Institute of the Ionian Islands, Dept. of Applications of Information Technology in Administration & Economy, Lefkada Greece

E-mail: ckatsis@teiion.gr


Research Interests: Computational Engineering, Computer systems and computational processes, Solid Modeling, Medicine & Healthcare, Medicine


Dr. Christos D. Katsis was born in Preveza, Greece. He received the Diploma Degree in Physics in 1998 and the PhD degree in Medical Physics from the University of Ioannina, Ioannina Greece in 2008. He joined the Dept. of Applications of Information Technology in Administration & Economy of the Technological Educational Institute of Ionian Islands in 2009 and he is currently an adjunct associate professor. He has many years of research experience in biomedical engineering, computer modeling, computational medicine, automated diagnosis and telemedicine. He has published many papers in refereed journals, international conferences and books.

Author Articles
Using Artificial Immune Recognition Systems in Order to Detect Early Breast Cancer

By C.D. Katsis I. Gkogkou C.A. Papadopoulos Y. Goletsis P.V. Boufounou G. Stylios

DOI: https://doi.org/10.5815/ijisa.2013.02.04, Pub. Date: 8 Jan. 2013

In this work, a decision support system for early breast cancer detection is presented. In hard to diagnose cases, different examinations (i.e. mammography, ultrasonography and magnetic resonance imaging) provide contradictory findings and patient is guided to biopsy for definite results. The proposed method employs a Correlation Feature Selection procedure and an Artificial Immune Recognition System (AIRS) and is evaluated using real data collected from 53 subjects with contradictory diagnoses. Comparative results with commonly used artificial intelligence classifiers verify the suitability of the AIRS classifier. The application of such an approach can reduce the number of unnecessary biopsies.

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