トップ研究者を探す新しい人工ニューラルネットワークを用いた肺・肝臓・脳などの3次元医用画像診断

新しい人工ニューラルネットワークを用いた肺・肝臓・脳などの3次元医用画像診断

KAKEN 科学研究費助成事業データベース で見る
研究課題番号 KAKENHI-PROJECT-26420421
研究種目 基盤研究(C)
研究分野 理工系
工学
電気電子工学
制御・システム工学
研究機関 徳島大学
代表研究者 近藤 正
研究期間 開始年月日 2014/4/1
研究期間 終了年度 2016
研究ステータス 完了 (2016/4/1)
配分額(合計) 2,600,000 (直接経費 :2,000,000、間接経費 :600,000)
配分額(履歴) 2016年度:780,000 (直接経費 :600,000、間接経費 :180,000)
2015年度:780,000 (直接経費 :600,000、間接経費 :180,000)
2014年度:1,040,000 (直接経費 :800,000、間接経費 :240,000)
キーワード ニューラルネットワーク
医用画像診断
人工ニューラルネットワーク
GMDH
人工知能技術
機械学習
GMDH

研究成果

[学会発表] Medical image diagnosis of lung cancer by deep logistic GMDH-type neural network using revised heuristic self-organization

Tadashi Kondo, Sayaka Kondo, Junji Ueno, Shoichiro Takao 2017

[雑誌論文] Medical image diagnosis of lung cancer by deep logistic GMDH-type neural network using revised heuristic self-organization

Tadashi Kondo, Sayaka Kondo, Junji Ueno, Shoichiro Takao 2017

[雑誌論文] Medical image analysis of brain X-ray CT images by deep GMDH-type neural network

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2016

[雑誌論文] Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images,

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2016

[雑誌論文] Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2016

[学会発表] Medical image analysis of brain X-ray CT images by deep GMDH-type neural network,

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2016

[学会発表] Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images,

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2016

[雑誌論文] Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2016

[雑誌論文] Medical image analysis of brain X-ray CT images by deep GMDH-type neural network,

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2016

[学会発表] Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2016

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

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2015

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

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2015

[雑誌論文] Medical image analysis of MRI brain images by deep RBF GMDH-type neural network using principal component-regression analysis,

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2015

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

Tadashi Kondo, Junji Ueno, Shoichiro Takao 2015

[雑誌論文] Deep multi-layered GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of brain and vessels

Tadashi Kondo, Junji Ueno, Shoichiro Takao 2015

[学会発表] Medical image analysis of MRI brain images by deep RBF GMDH-type neural network using principal component-regression analysis

Tadashi Kondo, Junji Ueno and Shoichiro Takao 2015

[雑誌論文] Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of heart regions

Tadashi Kondo, Junji Ueno, Shoichiro Takao 2014

[学会発表] Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of heart regions

Tadashi Kondo, Junji Ueno, Shoichiro Takao 0

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

Tadashi Kondo, Junji Ueno, Shoichiro Takao 0

[学会発表] Deep multi-layered GMDH-type neural network using principal component-regression analysis and its application to medical image recognition of brain and vessels

Tadashi Kondo, Junji Ueno, Shoichiro Takao 0