Three dimensional medical image diagnosis of lung, liver and brain using new artificial neural network
| Project/Area Number |
26420421
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Control engineering/System engineering
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| Research Institution | The University of Tokushima |
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Principal Investigator |
KONDO Tadashi 徳島大学, 大学院医歯薬学研究部(医学系), 教授 (80205559)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 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 |
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| Outline of Final Research Achievements |
In this study, the revised GMDH(Group Method of Data Handling)-type neural network algorithms using revised heuristic self-organization method and principal component-regression analysis, was developed and these algorithms were applied to the medical image recognitions of brain, lungs and heart and the medical image diagnosis of lung cancer. The revised GMDH-type neural network algorithms can automatically organize the artificial neural network architectures using the revised heuristic self-organization method, and these algorithms can automatically organize the optimum artificial neural network architectures fitting the complexity of many types of medical images such as X-ray CT image, MRI image and so on.
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Report
(4 results)
Research Products
(20 results)
