Accelerated organ region segmentation by the revised radial basis function network using a graphics processing unit.

This study aimed to accelerate the segmentation of organs in medical imaging with the revised radial basis function (RBF) network, using a graphics processing unit (GPU). We segmented the lung and liver regions from 250 chest x-ray computed tomography (CT) images and 160 abdominal CT images, respectively, using the revised RBF network. We compared the time taken to segment images and their accuracy between serial processing by a single-core central processing unit (CPU), parallel processing using four CPU cores, and GPU processing. Segmentation times for lung and liver organ regions shortened to 57.80 and 35.35 seconds for CPU parallel processing and 20.16 and 11.02 seconds for GPU processing, compared to 211.03 and 124.21 seconds for CPU serial processing, respectively. The concordance rate of the segmented region to the normal region in slices excluding the upper and lower ends (173 lung and 111 liver slices) was 98% for lung and 96% for liver. The use of CPU parallel processing and GPU shortened the organ segmentation time in the revised RBF network without compromising segmentation accuracy. In particular, segmentation time was shortened to less than 10%with GPU. This processing method will contribute to workload reduction in imaging analysis. J. Med. Invest. 66 : 86-92, February, 2019.

The Journal of Medical Investigation : JMI


Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network


Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images


Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer


Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis


Medical image analysis of brain X-ray CT images by deep GMDH-type neural network

Journal of Robotics Networking and Artificial Life


Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network


The 3-dimensional medical image recognition of right and left kidneys by deep GMDH-type neural network

Journal of Bioinformatics and Neuroscience


Medical image recognition of heart regions by deep multi-layered GMDH-type neural network using principal component-regression analysis


Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis


Deep feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of abdominal multi-organs


Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer


Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer


Medical image diagnosis of liver cancer by RBF GMDH-type neural network using principal component-regression analysis


Hybrid multi-layered GMDH-type neural network using principal component regression analysis and its application to medical image diagnosis of liver cancer


Medical image diagnosis of lung cancer by multi-layered GMDH-type neural network self-selecting functions


Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using heuristic self-organization


Medical image diagnosis of liver cancer by feedback GMDH-type neural network using knowlege base


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


Medical Image Diagnosis of Lung Cancer by Feedback GMDH-type Neural Network Self-selecting Neural Network Architectuer


Feedback GMDH-type Neural Network and Its Application to Medical Image Analysis of Liver Cancer

International Journal of Innovative Computing, Information and Control


Medical image diagnosis of lung cancer by revised GMDH-type neural network using various kinds of neurons


Medical image diagnosis of liver cancer using a neural network and artificial intelligence

Journal of Advanced Computational Intelligence and Intelligent Informatics


Learning algorithm of the revised RBF network and its application to the media art system


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


Radiographic comparison between male and female patients with lumbar spondylolysis.

We studied the lumbar spines of 117 adults (39 women and 78 men) with spondylolysis unrelated to low back pain using multidetector computed tomography (CT). Of the 117 subjects with spondylolysis, including five with multiple-level spondylolysis, there were 124 vertebrae with spondylolysis. In adult lumbar spines with unilateral spondylolysis, there was no significant difference between the incidence of spondylolisthesis in female and male subjects. However, in those with bilateral spondylolysis, there was a significantly higher incidence of spondylolisthesis in female subjects (90.9%) than in males (66.2%). Furthermore, females with bilateral spondylolysis had significant more slippage than males. Lumbar index and lumbar lordosis were not significantly different between male and female subjects, and did not significantly correlate with slippage. In conclusion, to treat acute spondylolysis in adolescents, it is important to obtain bony union at least unilaterally, especially in female subjects, to prevent further slippage.

The Journal of Medical Investigation : JMI


Revised GMDH-type neural network algorithm self-selecting optimum neural network architecture


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


Three-dimensional medical image analysis of the heart by the revised GMDH-type neural network self-selecting optimum nrural network architecture


Medical image recognition of abdominal multi-organs by RBF GMDH-type neural network


Nonlinear Pattern Identification by Multi-Layered GMDH-type Neural Network Self-Selecting Optimum Neural Network Architecture


Multi-Layered GMDH-type Neural Network Self-Selecting Optimum Neural Network Architecture and Its Application to 3-Dimensional Medical Image Recognition of Blood Vessels


GMDH-type Neural Network Algorithm with a Feedback Loop for Structural Identification of RBF Neural Network

International Journal of Knowlrge-based and Intelligent Engineering Systems


Logistic GMDH-type Neural Network and Its Application to the Identification of the X-ray Film Characteristic Curve


Multi-layered GMDH-type Neural Network with Radial Basis Functions and Its Application to the 3-dimensional Medical Image Recognition of the Liver


Medical Image Recognition of the Brain by Revised GMDH-type Neural Network Algorithm with a Feedback Loop

International Journal of Innovative Computing, Information and Control


Revised GMDH-type Neural Network Algorithm with a Feedback Loop Identifying Sigmoid Function Neural Network


Three dimensional medical image recognition of lungs by revised GMDH-type neural network algorithm

International Journal of Computer Assisted Radiology and Surgery


Revised GMDH-type Neural Networks using AIC or PSS Criterion and Their Application to the Medical Image Recognition

Journal of Advanced Computational Intelligence and Intelligent Informatics


Medical Image Recognition by using the Multi-layered GMDH-type Neural Networks with the Radial Basis Function

Intelligent Engineering System through Artificial Neural Networks


Identification of the Radial Basis Function Networks by using the Multi-layered GMDH-type Neural Network Algorithm


Identification of the Multi-layered Neural Networks by Revised GMDH-type Neural Network Algorithm with PSS Criterion


Revised GMDH-type neural networks with radial basis functions and their application to medical image recognition of stomach


GMDH-type Neural Network Algorithm with Sigmoid Functions

International Journal of Knowledge-Based Intelligent Engineering Systems


Recognition of X-ray Images by Using Revised GMDH-type Neural Networks


GMDH-type Neural Networks with a Feedback Loop and their Application to Nonlinear System Identification


発見的自己組織化の原理に基づいてネットワーク構造を自己組織化するGMDH-type ニューラルネットワークアルゴリズム

Transactions of the Institute of Systems, Control and Information Engineers

システム制御情報学会論文誌


入力変数の自己選択能力を備えた非線形システム同定用ニューラルネットワーク

入力変数の自己選択能力を備えた非線形システム同定用ニューラルネットワーク

Transactions of the Society of Instrument and Control Engineers


ネットワーク構造の自己選択能力を備えたニューラルネットワークによる河川水質の非線形定常モデルの同定

システム制御情報学会論文誌


ネットワーク構造の自己選択能力を備えたニューラルネットワークとその非線形システム同定への応用


ニューラルネットワークを用いた広域大気汚染濃度パターンの同定

ニューラルネットワークを用いた広域大気汚染濃度パターンの同定

システ制御情報学会論文誌

システ制御情報学会論文誌


ニューラルネットワークを用いた大気汚染濃度の短期予測

ニューラルネットワークを用いた大気汚染濃度の短期予測


非線形システムの同定を目的としたニューラルネットワークによる加熱炉ヒートパターンの同定

システ制御情報学会論文誌

システ制御情報学会論文誌


回帰主成分分析を用いる多入力多出力形GMDH

回帰主成分分析を用いる多入力多出力形GMDH

システ制御情報学会論文誌

システ制御情報学会論文誌


主成分回帰分析を用いる改良形GMDH

主成分回帰分析を用いる改良形GMDH

システ制御情報学会論文誌

システ制御情報学会論文誌


複雑な構造をした非線形システムの同定を目的としたニューラルネットワーク

複雑な構造をした非線形システムの同定を目的としたニューラルネットワーク

システ制御情報学会論文誌

システ制御情報学会論文誌


非線形指数形モデルを同定する改良形GMDH

非線形指数形モデルを同定する改良形GMDH


モデルの次数を推定する改良形GMDH

モデルの次数を推定する改良形GMDH


数量化入力変数を用いる改良形GMDHとその圧延モデル同定への応用

数量化入力変数を用いる改良形GMDHとその圧延モデル同定への応用


Statistical Analysis of Blanking Tool Wear by a Group Method of Data Handling


Heuristics Free Group Method of Data Handling Algorithm of Generating Optimal Partial Polynomials with Application to Air Pollution Prediction

International Journal of Systems Science


改良形GMDHによる河川水質の非線形定常モデルの作成

改良形GMDHによる河川水質の非線形定常モデルの作成


: 改良形GMDHによる大気汚染のモデリングと短期予測

: 改良形GMDHによる大気汚染のモデリングと短期予測


情報量規準AICを用いて中間表現式を自己選択する改良形GMDH

情報量規準AICを用いて中間表現式を自己選択する改良形GMDH


モデル選択の評価規準に予測平方和(PSS)を用いる改良形GMDH

モデル選択の評価規準に予測平方和(PSS)を用いる改良形GMDH


部分表現式の次数を自己選択する改良形GMDHとその広域大気汚染濃度パターンの同定への応用


Identification of the X-ray film characteristic curve by using the neural network

Bulletin of School of Medical Sciences, the University of Tokushima


Medical image recognition of the lungs by using the neural network


改良形GMDH法によるX線フイルム特性曲線の同定

改良形GMDH法によるX線フイルム特性曲線の同定

徳島大学医療技術短期大学部紀要


神経回路網モデルによるX線CT画像を対象にした医用画像認識

神経回路網モデルによるX線CT画像を対象にした医用画像認識

徳島大学医療技術短期大学部紀要


大規模ネットワーク構造を自己形成する神経回路網モデル

大規模ネットワーク構造を自己形成する神経回路網モデル

徳島大学医療技術短期大学部紀要


医用画像認識を目的とした神経回路網モデルの開発(第1報)

医用画像認識を目的とした神経回路網モデルの開発(第1報)

徳島大学医療技術短期大学部紀要


非線形システムの同定を目的とした神経回路網モデルによる大気汚染システムのモデリング(第2報)

徳島大学医療技術短期大学部紀要


統計的非線形システム同定手法(GMDH手法)の多変量形アルゴリズム

統計的非線形システム同定手法(GMDH手法)の多変量形アルゴリズム

徳島大学医療技術短期大学部紀要


階層型ネットワーク構造をした統計的非線形システム同定手法(GMDH手法)の新しいアルゴリズム

徳島大学医療技術短期大学部紀要


非線形システムの同定を目的とした神経回路網モデルによる大気汚染システムのモデリング

徳島大学医療技術短期大学部紀要


非線形システムの同定を目的とした神経回路網モデルによる工学システムのモデリング

非線形システムの同定を目的とした神経回路網モデルによる工学システムのモデリング

徳島大学医療技術短期大学部紀要


神経回路網モデルを用いた非線形システムのモデリング

神経回路網モデルを用いた非線形システムのモデリング

徳島大学医療技術短期大学部紀要


STUDIES ON REVISED GMDH ALGORITHMS WITH APPLICATIONS