| Presentation | 2012-09-02 Medical image diagnosis of liver cancer by revised GMDH-type neural network self-organizing neural network architecture using heuristic self-organization Tadashi KONDO, Junji UENO, Shoichiro TAKAO, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| 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 neural network architecture using heuristic self-organization is proposed. Feedback GMDH-type neural network algorithm has an ability of self-selecting optimum neuron architecture from three neuron architectures such as sigmoid function neuron, radial basis function (RBF) neuron and polynomial neuron. Feedback GMDH-type neural network also have abilities of self-selecting the number of feedback loop calculations, the number of neurons in hidden layers and useful input variables. This algorithm is applied to medical image diagnosis of liver cancer. First, normal regions of liver are recognized and extracted using the feedback 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 orgarnized using the extracted liver image and the candidate image regions of liver cancer are extracted. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | GMDH / Medical image diagnosis / Neural network |
| Paper # | PRMU2012-32,IBISML2012-15 |
| Date of Issue |
| Conference Information | |
| Committee | IBISML |
|---|---|
| Conference Date | 2012/8/26(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
|---|---|
| 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 self-organization |
| 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) | 198 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |