| Presentation | 2019-10-19 Localization of Diffuse Lung Deseases' Lesions and Quantification of Their Volumes Using Deep Learning Hiroaki Takebe, Yasutaka Moriwaki, Nobuhiro Miyazaki, Takayuki Baba, Hiroaki Terada, Toru Higaki, Kazuo Awai, Hirotaka Kobayashi, Machiko Nakagawa, Masahiko Shimada, Kenji Kitayama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Changes in the amount of lesion over time are important information for diagnostic imaging of diffuse lung disease in which lesions appear throughout a lung. Then a technique that can automatically quantify the amount of lesion is desired. The quantification of the amount of lesion is performed by classifying the lesion from the image. A method using deep learning (DL) is effective for classifying lesions in diffuse lung disease. However, there is a problem that it is difficult to classify micro nodules that are typical lesions. We propose a method for accurately classifying micro nodules using DL by focusing on the 3D structure of a micro nodule. We confirmed that as for the proposed method, the classification accuracy was improved compared to the conventional method, and as an application of this method, the temporal change in the amount of lesions was accurately quantified for cases taken at multiple time points of the same patient. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / Diffuse Lung Disease / Lesion Classification / Micro Nodule |
| Paper # | PRMU2019-44 |
| Date of Issue | 2019-10-11 (PRMU) |
| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2019/10/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yoichi Sato(Univ. of Tokyo) |
| Vice Chair | Toru Tamaki(Hiroshima Univ.) / Akisato Kimura(NTT) |
| Secretary | Toru Tamaki(NTT) / Akisato Kimura(OMRON SINICX) |
| Assistant | Yusuke Uchida(DeNA) / Takayoshi Yamashita(Chubu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Localization of Diffuse Lung Deseases' Lesions and Quantification of Their Volumes Using Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Diffuse Lung Disease |
| Keyword(3) | Lesion Classification |
| Keyword(4) | Micro Nodule |
| 1st Author's Name | Hiroaki Takebe |
| 1st Author's Affiliation | FUJITSU LABORATORIES LTD.(FUJITSU LAB.) |
| 2nd Author's Name | Yasutaka Moriwaki |
| 2nd Author's Affiliation | FUJITSU LABORATORIES LTD.(FUJITSU LAB.) |
| 3rd Author's Name | Nobuhiro Miyazaki |
| 3rd Author's Affiliation | FUJITSU LABORATORIES LTD.(FUJITSU LAB.) |
| 4th Author's Name | Takayuki Baba |
| 4th Author's Affiliation | FUJITSU LABORATORIES LTD.(FUJITSU LAB.) |
| 5th Author's Name | Hiroaki Terada |
| 5th Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 6th Author's Name | Toru Higaki |
| 6th Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 7th Author's Name | Kazuo Awai |
| 7th Author's Affiliation | Hiroshima University(Hiroshima Univ.) |
| 8th Author's Name | Hirotaka Kobayashi |
| 8th Author's Affiliation | FUJITSU LIMITED(FUJITSU) |
| 9th Author's Name | Machiko Nakagawa |
| 9th Author's Affiliation | FUJITSU LIMITED(FUJITSU) |
| 10th Author's Name | Masahiko Shimada |
| 10th Author's Affiliation | FUJITSU LIMITED(FUJITSU) |
| 11th Author's Name | Kenji Kitayama |
| 11th Author's Affiliation | FUJITSU LIMITED(FUJITSU) |
| Date | 2019-10-19 |
| Paper # | PRMU2019-44 |
| Volume (vol) | vol.119 |
| Number (no) | PRMU-235 |
| Page | pp.pp.67-72(PRMU), |
| #Pages | 6 |
| Date of Issue | 2019-10-11 (PRMU) |