Energy based medical imaging segmentation methods by using cellular neural networks
Alexandru Gacsadi, Laviniu Tepelea, Ioan Gavrilut, Oreste Mihai Straciuc · International Conference on Systems · 2011
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.