Variational computing based segmentation methods for medical imaging by using CNN
Alexandru Gacsadi, Péter Szolgay · 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) · 2010
The paper presents a new variational computing based medical image segmentation method 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) there is the possibility to meet the requirements for medical image segmentation.