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Fusion of FISH image analysis methods of HER2 status determination in breast cancer
Affiliation:1. Faculty of Electrical Engineering, Warsaw University of Technology, Koszykowa 75, Warsaw, Poland;2. Military Institute of Medicine, Szaserow 128, Warsaw, Poland;3. Military University of Technology, Kaliskiego 2, Warsaw, Poland;1. INESC TEC - INESC Technology and Science. FEUP Campus, Dr. Roberto Frias 4200 - 465. Porto, Portugal;2. Faculdade de Engenharia, Universidade do Porto. FEUP Campus, Dr. Roberto Frias 4200 - 465. Porto, Portugal;3. University of A Coruña, Department of Computer Science. Campus de Elviña 15071. A Coruña, Spain;1. TUBITAK BILGEM, Information Technologies Institute, Kocaeli-Turkey\n;2. Department of Computer Engineering, Faculty of Computer and Information Science, Sakarya University, Sakarya-Turkey\n;1. Business Systems and Analytics Department, Distinguished Chair of Business Systems and Analytics, La Salle University, Philadelphia, PA 19141, USA;2. Business Information Systems Department, Faculty of Business Administration and Economics, University of Paderborn, D-33098 Paderborn, Germany;3. Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia;4. Department of Mathematics and Statistics, York University, Toronto, M3J 1P3, Canada;5. Polo Tecnologico IISS G. Galilei, Via Cadorna 14, 39100, Bolzano, Italy;6. School of Economics and Management, Free University of Bolzano, 39100 Bolzano, Italy;7. Instituto Complutense de Estudios Internacionales, Universidad Complutense de Madrid, Campus de Somosaguas, 28223, Pozuelo, Spain;1. Dep. Electricity and Electronics. Faculty of Science and Technology, (UPV-EHU), Leioa, Spain;2. Dep. Languages and Computer Systems. School of Engineering of Bilbao (UPV-EHU), Bilbao, Spain;3. Dep. Languages and Computer Systems. Faculty of Computer Science (UPV-EHU), San Sebastian, Spain
Abstract:The paper presents an application of several methods of markers localization in fluorescent in situ hybridization images in order to determine HER2 status of the breast cancer samples. The applied methods implement different mathematical foundations of image processing and perform the analysis in an independent way. The paper proposes their fusion to obtain better results of spot recognition. The integration process of many methods takes into account different points of view on the classification problem and takes the best from each of them in developing the final solution. Thanks to this the improvement of the performance of the system is achieved. The efficiency of the developed system in the form of sensitivity and specificity has been verified on the examples of analysis of many FISH images. They confirm the advantage of using several methods of image processing combined in the form of an ensemble.
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