Energy based medical imaging segmentation methods by using cellular neural networks

Authors:
A. Gacsádi;l. Ţepelea;I. Gavriluţ;O. Straciuc
Affiliations:
Electronics and Telecommunications Department, University of Oradea, Oradea, Romania;Electronics and Telecommunications Department, University of Oradea, Oradea, Romania;Electronics and Telecommunications Department, University of Oradea, Oradea, Romania;Anatomy Department, University of Oradea, Oradea, Romania
Venue:
Proceedings of the 15th WSEAS international conference on Systems
Year:
2011

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Abstract

The paper presents energy based medical imaging segmentation methods by using Cellular Neural Networks (CNN). By implementing the proposed algorithm on FPGA (Field Programmable Gate Array) with an emulated digital CNN-UM (CNN-Universal Machine), due to complete parallel processing, computing-time reduction is achieved and there is a possibility to meet the requirements for medical image segmentation.