基于变分计算的医学图像CNN分割方法

2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010) Pub Date : 2010-03-29 DOI:10.1109/CNNA.2010.5430256

A. Gacsádi, P. Szolgay

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引用次数: 14

摘要

提出了一种基于变分计算的细胞神经网络(CNN)医学图像分割方法。通过在FPGA(现场可编程门阵列)和仿真数字CNN-UM (cnn -通用机)上实现该算法，可以满足医学图像分割的要求。

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Variational computing based segmentation methods for medical imaging by using CNN

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.

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来源期刊

2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)

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