近藤正
こんどう ただし 近藤 正 | |
|---|---|
| 生誕 | 1952年??月??日 |
| 研究分野 | 医療情報学 |
| 出身校 |
徳島大学 大阪大学 |
| プロジェクト:人物伝 | |
近藤 正（こんどう ただし、1952年[1] - ）は、日本の医療情報工学者。京都情報大学院大学教授[2]。徳島大学名誉教授[1]
経歴
[編集]- 徳島大学工学部精密機械工学科卒業、工学士[1]
- 大阪大学大学院工学研究科博士課程前期修了、同大学院工学研究科博士課程後期修了、工学博士[1]
- 元株式会社東芝重電技術研究所制御研究担当研究主務[1]
- 元徳島大学医学部教授[1]
- 元徳島大学大学院保健科学教育部教授
- 元徳島大学大学院医歯薬学研究部教授[3]
論文
[編集]- Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo : Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network, Artificial Life and Robotics, Vol.23, No.2, 271-278, 2018. DOI:10.1007/s10015-017-0420-z
- Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo : Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images, Artificial Life and Robotics, Vol.23, No.2, 161-172, 2018. DOI:10.1007/s10015-017-0410-1
- Shoichiro Takao, Sayaka Kondo, Junji Ueno and Tadashi Kondo : Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer, Artificial Life and Robotics, Vol.23, No.1, 48-59, 2018. DOI:10.1007/s10015-017-0392-z
- Tadashi Kondo, Sayaka Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis, Artificial Life and Robotics, Vol.22, No.1, 1-9, 2017. DOI:10.1007/s10015-016-0337-y
- Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by deep feedback GMDH-type neural network, Journal of Robotics Networking and Artificial Life, Vol.2, No.4, 252-257, 2016. DOI:10.2991/jrnal.2016.2.4.11
- Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis, Artificial Life and Robotics, Vol.20, No.2, 145-151, 2015. DOI:10.1007/s10015-015-0213-1
- Tadashi Kondo, Junji Ueno and Shoichiro Takao : Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, Artificial Life and Robotics, Vol.20, No.2, 137-144, 2015. DOI:10.1007/s10015-015-0200-6
- Tadashi Kondo, Junji Ueno and Shoichiro Takao : Hybrid feedback GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer, ICIC Express Letters, Vol.8, No.4, 1053-1060, 2014.
- Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of liver cancer by RBF GMDH-type neural network using principal component-regression analysis, ICIC Express Letters, Vol.8, No.3, 1-8, 2014.
- Tadashi Kondo, Junji Ueno and Shoichiro Takao : Medical image diagnosis of lung cancer by multi-layered GMDH-type neural network self-selecting functions, Artificial Life and Robotics, Vol.18, No.1-2, 20-26, 2013. DOI:10.1007/s10015-013-0094-0
出典
[編集]- ^ a b c d e f http://pub2.db.tokushima-u.ac.jp/ERD/person/60157/profile-ja.html
- ^ https://www.kcg.edu/faculty/professor/t-kondo
- ^ https://nrid.nii.ac.jp/ja/nrid/1000080205559/
外部リンク
[編集]| 典拠管理データベース: 学術データベース |
|---|
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.
Cover photo is available under {{::mainImage.info.license.name || 'Unknown'}} license.
Cover photo is available under {{::mainImage.info.license.name || 'Unknown'}} license.
Credit:
(see original file).
