| Presentation | 2007-11-30 The active artificial neural network by a neuro-fuzzy classification for speckle noise removal in medical ultrasound image Hyungseok OH, Toshihiro NISHIMURA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Medical ultrasound image is one of the major diagnostic tool in medical image. However, ultrasound images are degraded by the random granular texture called speckle noise. Therefore, the speckle noise is considered dominant source of noise in ultrasound image. In this paper, we propose the active artificial neural network by a neuro-fuzzy classification for speckle noise removal in medical ultrasound image. The proposed method is based on the artificial neural network by back-propagation and utilized the neuro-fuzzy model to select one neural network among three artificial neural networks. Then, auto-threshold method is adopted to control the threshold value in neuro-fuzzy method. The proposed method is compared to other methods and evaluated the performance by prewitt edge detection. Finally, we verify the performance improvement in utilizing the new strategy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Ultrasound image / Speckle noise / Artificial Neural Network / Neuro-fuzzy Model / Auto-threshold method |
| Paper # | IE2007-104 |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 2007/11/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | The active artificial neural network by a neuro-fuzzy classification for speckle noise removal in medical ultrasound image |
| Sub Title (in English) | |
| Keyword(1) | Ultrasound image |
| Keyword(2) | Speckle noise |
| Keyword(3) | Artificial Neural Network |
| Keyword(4) | Neuro-fuzzy Model |
| Keyword(5) | Auto-threshold method |
| 1st Author's Name | Hyungseok OH |
| 1st Author's Affiliation | Graduate school of Information, Production and Systems, Waseda University() |
| 2nd Author's Name | Toshihiro NISHIMURA |
| 2nd Author's Affiliation | Graduate school of Information, Production and Systems, Waseda University |
| Date | 2007-11-30 |
| Paper # | IE2007-104 |
| Volume (vol) | vol.107 |
| Number (no) | 358 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |