| Presentation | 2022-03-09 Extraction of lung regions from chest CT images using deep learning Xinshan He, Takaharu Yamazaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Accurate extraction of lung regions from chest X-ray images is an essential process for detecting lesions in lung fields, and is important in the development of computer-aided diagnosis systems for the chest. In this study, we implement lung region extraction methods (U-Net, U-Net++, and Mask R-CNN) from chest CT images using deep learning, and investigate the extraction performance in each lung region. As a result, the extraction performance (Dice index) of the Mask R-CNN method was higher for all lung regions than the other two methods, but there was room for improvement in the extraction of the lower lung regions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Chest CT image / Lung extraction / U-Net / U-Net++ / Mask R-CNN / Extraction performance |
| Paper # | IMQ2021-11,IE2021-73,MVE2021-40 |
| Date of Issue | 2022-03-02 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | CQ / IMQ / MVE / IE |
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| Conference Date | 2022/3/9(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online (Zoom) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc |
| Chair | Jun Okamoto(NTT) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(RIKEN) / Kazuya Kodama(NII) |
| Vice Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) / Mitsuru Maeda(Canon) / Kiyoshi Kiyokawa(NAIST) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) |
| Secretary | Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) / Mitsuru Maeda(Nagoya Univ.) / Kiyoshi Kiyokawa(NTT) / Hiroyuki Bandoh(Oosaka Inst. of Tech.) / Toshihiko Yamazaki(NTT) |
| Assistant | Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) / Masato Tsukada(NEC) / Takashi Yamazoe(Seikei Univ.) / Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Image Engineering |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extraction of lung regions from chest CT images using deep learning |
| Sub Title (in English) | |
| Keyword(1) | Chest CT image |
| Keyword(2) | Lung extraction |
| Keyword(3) | U-Net |
| Keyword(4) | U-Net++ |
| Keyword(5) | Mask R-CNN |
| Keyword(6) | Extraction performance |
| 1st Author's Name | Xinshan He |
| 1st Author's Affiliation | Saitama Institute of Technology(SIT) |
| 2nd Author's Name | Takaharu Yamazaki |
| 2nd Author's Affiliation | Saitama Institute of Technology(SIT) |
| Date | 2022-03-09 |
| Paper # | IMQ2021-11,IE2021-73,MVE2021-40 |
| Volume (vol) | vol.121 |
| Number (no) | IMQ-420,IE-422,MVE-423 |
| Page | pp.pp.7-12(IMQ), pp.7-12(IE), pp.7-12(MVE), |
| #Pages | 6 |
| Date of Issue | 2022-03-02 (IMQ, IE, MVE) |