Developments of Computer Aided Diagnosis System of liver cancers using knowledge Engineering for Medical X-ray CT Images

医学X射线CT图像知识工程肝癌计算机辅助诊断系统的研制

• 批准号: 21560428
• 负责人: UENO Junji
• 金额: $ 1.66万
• 依托单位: The University of Tokushima
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2009
• 资助国家: 日本
• 起止时间: 2009 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21560428/
• 关键词: システム情報(知識)処理; 人工ニューラルネットワーク; コンピュータ支援診断; 知識工学; マルチスライスCT; システム情報処理; CT; 肝臓癌

A revised Group Method of Data Handling(GMDH)-type neural network algorithm for medical image diagnosis is proposed and is applied to medical image diagnosis of liver cancer that is called hepatocellular carcinoma(HCC). In this algorithm, the knowledge base for medical image diagnosis are used for organizing the neural network architecture for medical image diagnosis and the revised GMDH-type neural network algorithm can identify the characteristics of the medical images accurately. The optimum neural network architecture fitting the complexity of the medical images is automatically organized so as to minimize the prediction error criterion defined as Prediction Sum of Squares(PSS) and it was shown that the revised GMDH-type neural network could be easily applied to the medical image diagnosis.

提出了一种改进的分组数据处理（GMDH）型神经网络医学图像诊断算法，并将其应用于肝癌（HCC）的医学图像诊断。该算法利用医学图像诊断知识库组织医学图像诊断神经网络结构，改进的GMDH型神经网络算法能够准确识别医学图像的特征。最佳的神经网络结构拟合的医学图像的复杂性，自动组织，以最小化的预测误差标准定义为预测平方和（PSS），它表明，修改后的GMDH型神经网络可以很容易地应用于医学图像诊断。

项目成果

Feedback GMDH-type neural network and its application to medical image analysis of the liver cancer

反馈GMDH型神经网络及其在肝癌医学图像分析中的应用

• 发表时间: 2010
• 期刊: Abstracts of the 42^<nd> ISCIE international symposium on stochastic systems theory and its applications
• 作者: Tadashi Kondo;Junji Ueno
• 通讯作者: Junji Ueno

Medical image diagnosis of liver cancer-using multi-layered GMDH-type neural network

肝癌的医学图像诊断——多层GMDH型神经网络

• 发表时间: 2010
• 作者: Tadashi Kondo;Junji Ueno
• 通讯作者: Junji Ueno

Medical Image Diagnosis of Liver Cancer by Multi-layered GMDH-type Neural Network Using Knowledge Base

基于知识库的多层GMDH型神经网络对肝癌的医学图像诊断

• 发表时间: 2012
• 期刊: ICIC Express Letters (ICIC-EL)
• 作者: Ryusuke Mayuzumi and Tetsuya Kojima;Yoshiya Horii and Tetsuya Kojima;堀井与志也;Tadashi Kondo
• 通讯作者: Tadashi Kondo

Three-dimensional medical image recognition of the cancer of the liver by a revised radial basis function (RBF) neural network algorithm

改进的径向基函数（RBF）神经网络算法对肝癌的三维医学图像识别

• 发表时间: 2009
• 期刊: The Journal of Artificial Life and Robotics Vol.14
• 作者: Masahiro Nakagawa;Tadashi Kondo;Kudo Tsuyosi;Shoichiro Takao and Junji Ueno;Nakagawa M.
• 通讯作者: Nakagawa M.

Medical image diagnosis of liver cancer by multi-layered GMDH-type neural network using artificial intelligence technology

利用人工智能技术的多层GMDH型神经网络对肝癌的医学图像诊断

• 发表时间: 2012
• 期刊: Proceedings of the 43th ISCIE International Symposium on Stochastic Systems Theory and its Applications
• 作者: Ryusuke Mayuzumi and Tetsuya Kojima;Yoshiya Horii and Tetsuya Kojima;堀井与志也;Tadashi Kondo;Tadashi Kondo;Tadashi Kondo
• 通讯作者: Tadashi Kondo