| Presentation | 2011-07-08 Medical image diagnosis of lung cancer by revised GMDH-type neural network self-organizing neural network architecture Tadashi Kondo, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this study, a revised Group Method of Data Handling (GMDH)-type neural network self-selecting optimum neural network architecture is proposed. Revised GMDH-type neural network algorithm has an ability of self-selecting optimum neural network architecture from three neural network architectures such as sigmoid function neural network, radial basis function (RBF) neural network and polynomial neural network. Revised GMDH-type neural network also have abilities of self-selecting the number of layers, the number of neurons in hidden layers and useful input variables. This algorithm is applied to medical image recognition and it is shown that this algorithm is useful for medical image recognition and is very easy to apply practical complex problem because optimum neural network architecture is automatically organized. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | GMDH / Neural network / Medical image diagnosis |
| Paper # | MBE2011-20 |
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| Conference Information | |
| Committee | MBE |
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| Conference Date | 2011/7/1(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | ME and Bio Cybernetics (MBE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Medical image diagnosis of lung cancer by revised GMDH-type neural network self-organizing neural network architecture |
| Sub Title (in English) | |
| Keyword(1) | GMDH |
| Keyword(2) | Neural network |
| Keyword(3) | Medical image diagnosis |
| 1st Author's Name | Tadashi Kondo |
| 1st Author's Affiliation | Graduate School of Health Sciences, The University of Tokushima() |
| Date | 2011-07-08 |
| Paper # | MBE2011-20 |
| Volume (vol) | vol.111 |
| Number (no) | 121 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |