| Presentation | 2012-09-02 Medical image diagnosis of liver cancer by revised GMDH-type neural network self-organizing neural network architecture using heuristic Tadashi KONDO, Junji UENO, Shoichiro TAKAO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this study, a feedback Group Method of Data Handling (GMDH)-type neural network self-organizing neuralnetwork architecture using heuristic self-organization is proposed. Feedback GMDH-type neural network algorithm has anability of self-selecting optimum neuron architecture from three neuron architectures such as sigmoid function neuron, radialbasis function (RBF) neuron and polynomial neuron. Feedback GMDH-type neural network also have abilities of self-selectingthe number of feedback loop calculations, the number of neurons in hidden layers and useful input variables. This algorithm isapplied to medical image diagnosis of liver cancer. First, normal regions of liver are recognized and extracted using thefeedback GMDH-type neural network and the regions of liver are extracted after the post-processing analysis for output image.Then, a new another GMDH-type neural network is organized using the extracted liver image and the candidate image regionsof liver cancer are extracted. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | GMDH / Medical image diagnosis / Neural network |
| Paper # | PRMU2012-32,IBISML2012-15 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2012/8/26(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 liver cancer by revised GMDH-type neural network self-organizing neural network architecture using heuristic |
| Sub Title (in English) | |
| Keyword(1) | GMDH |
| Keyword(2) | Medical image diagnosis |
| Keyword(3) | Neural network |
| 1st Author's Name | Tadashi KONDO |
| 1st Author's Affiliation | Graduate School of Health Sciences The University of Tokushima() |
| 2nd Author's Name | Junji UENO |
| 2nd Author's Affiliation | Graduate School of Health Sciences The University of Tokushima |
| 3rd Author's Name | Shoichiro TAKAO |
| 3rd Author's Affiliation | Graduate School of Health Sciences The University of Tokushima |
| Date | 2012-09-02 |
| Paper # | PRMU2012-32,IBISML2012-15 |
| Volume (vol) | vol.112 |
| Number (no) | 197 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |