NEURAL NETWORK AND CONVOLUTIONAL ALGORITH TO EXTRACT SHAPES BY E-MEDICUS APPLICATION
Tomasz Rymarczyk
tomasz@rymarczyk.com1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin (Poland)
Barbara Stefaniak
Research and Development Center, Netrix S.A., Lublin (Poland)
Przemysław Adamkiewicz
Research and Development Center, Netrix S.A., Lublin (Poland)
Abstract
The solution shows the architecture of the system collecting and analyzing data. There was tried to develop algorithms to image segmentation. These algorithms are needed to identify arbitrary number of phases for the segmentation problem. With the use of algorithms such as the level set method, neural networks and deep learning methods, it can obtain a quicker diagnosis and automatically marking areas of the interest region in medical images.
Keywords:
image analysis, level set method, artificial intelligence algorithmsReferences
Balla-Arabe S., Gao X.: A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method. IEEE Trans Cybern. 43(3)/2013.
Google Scholar
Filipowicz S.F., Rymarczyk T.: The Shape Reconstruction of Unknown Objects for Inverse Problems. Przeglad Elektrotechniczny 88(3A)/2012, 55–57.
Google Scholar
Jajuga K.: Statystyczna teoria rozpoznawania obrazów. PWN, Warszawa 1990.
Google Scholar
Kłosowski G., Rymarczyk T.: Using Neural Networks and Deep Learning Algorithms in Elecrical Impedance Tomography. Informatyka, Automatyka Pomiary w Gospodarce i Ochronie Środowiska (IAPGOŚ) 3/2017, 99–102.
Google Scholar
Kurzyński M.: Rozpoznawanie obiektów. Metody statystyczne. Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 1997.
Google Scholar
Li C., Kao C., Gore J. C., Ding Z.: Minimization of Region-Scalable Fitting Energy for Image Segmentation. IEEE Trans. Image Processing 17(10)/2008, 1940–1949.
Google Scholar
Mumford D., Shah J.: Optimal approximation by piecewise smooth functions and associated variational problems. Comm. Pure Appl. Math. 42/1989, 577–685.
Google Scholar
Osher S., Fedkiw R.: Level Set Methods and Dynamic Implicit Surfaces. Springer, New York 2003.
Google Scholar
Osher S., Sethian J.A.: Fronts Propagating with Curvature Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations. Journal of Computational Physics 79/1988, 12–49.
Google Scholar
Osowski S., Markiewicz T., Kruk M., Kozłowski W.: Metody sztucznej inteligencji do wspomagania diagnostyki patologii tkanek. WAT, Warszawa 2011.
Google Scholar
Polakowski, K., Filipowicz, S.F., Sikora, J., Rymarczyk, T., Quality of imaging in multipath tomography. Przeglad Elektrotechniczny 85(12)/2009, 134–136.
Google Scholar
Polakowski K., Filipowicz S., Sikora J., Rymarczyk T.: Tomography Technology Application for Workflows of Gases Monitoring in The Automotive Systems. Przegląd Elektrotechniczny 84(12)/2008, 227–229.
Google Scholar
Rymarczyk T., Filipowicz S., Sikora J., Polakowski K.: A piecewise-constant minimal partition problem in the image reconstruction. Przegląd Elektrotechniczny 85(12)/2009, 141–143.
Google Scholar
Rymarczyk T., Sikora J., Waleska B.: Coupled Boundary Element Method and Level Set Function for Solving Inverse Problem in EIT. 7th World Congress on Industrial Process Tomography, WCIPT7 2013, 312–319.
Google Scholar
Authors
Tomasz Rymarczyktomasz@rymarczyk.com
1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin Poland
Authors
Barbara StefaniakResearch and Development Center, Netrix S.A., Lublin Poland
Authors
Przemysław AdamkiewiczResearch and Development Center, Netrix S.A., Lublin Poland
Statistics
Abstract views: 263PDF downloads: 151
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Most read articles by the same author(s)
- Tomasz Rymarczyk, Jan Sikora, SOME MORE ON LOGARITHMIC SINGULARITY INTEGRATION IN BOUNDARY ELEMENT METOD , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 14 No. 1 (2024)
- Tomasz Rymarczyk, Grzegorz Kłosowski, SUPPLY CHAIN RISK MANAGEMENT BY MONTE CARLO METHOD , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 7 No. 4 (2017)
- Tomasz Rymarczyk, Paweł Tchórzewski, HYBRID TECHNIQUES TO SOLVE OPTIMIZATION PROBLEMS IN EIT , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 7 No. 1 (2017)
- Tomasz Rymarczyk, Paweł Tchórzewski, Jan Sikora, COUPLING BOUNDARY ELEMENT METHOD WITH LEVEL SET METHOD TO SOLVE INVERSE PROBLEM , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 7 No. 1 (2017)
- Krzysztof Król, Tomasz Rymarczyk, Konrad Niderla, Edward Kozłowski, SENSOR PLATFORM OF INDUSTRIAL TOMOGRAPHY FOR DIAGNOSTICS AND CONTROL OF TECHNOLOGICAL PROCESSES , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 13 No. 1 (2023)
- Tomasz Rymarczyk, Grzegorz Kłosowski, Tomasz Cieplak, THE USE OF PETRI NETS IN DECISION SUPPORT SYSTEMS BASED ON INTELLIGENT MULTIPLY SOURCE DATA ANALYSIS , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 7 No. 4 (2017)
- Michał Gołąbek, Tomasz Rymarczyk, DESIGN OF INNOVATIVE MEASUREMENT SYSTEMS IN ULTRASONIC TOMOGRAPHY , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 12 No. 2 (2022)
- Tomasz Cieplak, Tomasz Rymarczyk, Grzegorz Kłosowski, USING MICROSERVICES ARCHITECTURE AS ANALYTICAL SYSTEM FOR ELECTRICAL IMPEDANCE TOMOGRAPHY IMAGING , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 8 No. 1 (2018)
- Tomasz Rymarczyk, Przemysław Adamkiewicz, Jakub Szumowski, Konrad Niderla, Łukasz Gołąbek, Jan Sikora, CONCEPT OF DETECTION SYSTEM TO LOCALIZE INSIDE CLOSED AREA BY RADIO TOMOGRAPHIC IMAGING , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 7 No. 1 (2017)
- Tomasz Rymarczyk, ANALYSIS MEDICAL AND STEREOSCOPIC IMAGES BY E-MEDICUS SYSTEM , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 8 No. 2 (2018)
