| Presentation | 2021-03-04 Media detection from cardiovascular OCT images based on deep learning jiwei zhang, kai wang, Takashi Kubo, haiyuan wu, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Medical image segmentation is an important issue in determining whether medical images can provide reliable evidence in clinical diagnosis and treatment. The development of medical image segmentation technology not only influences the development of other related technologies in medical image processing such as visualization and three-dimensional reconstruction, but also occupies a very important position in the analysis of biomedical images. In recent years, the application of deep learning algorithms in medical image segmentation has made great strides in medical image segmentation technology. Cardiovascular OCT (Optical Coherence Tomography) technology provides high-definition images of the inside of blood vessels at the microscopic level, enabling detailed anatomical evaluation. In this paper, we propose a method of dividing the cardiovascular OCT image by the deep learning (Distance Segmentation) method and detecting the media part from the divided region. We also consider using fine-tuning and tricks to improve the identification rate. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Cardiovascular OCT images / Segmentation / fine-tuning |
| Paper # | PRMU2020-80 |
| Date of Issue | 2021-02-25 (PRMU) |
| Conference Information | |
| Committee | PRMU / IPSJ-CVIM |
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| Conference Date | 2021/3/4(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Computer Vision and Pattern Recognition for specific environment |
| Chair | Yoichi Sato(Univ. of Tokyo) |
| Vice Chair | Akisato Kimura(NTT) / Masakazu Iwamura(Osaka Pref. Univ.) |
| Secretary | Akisato Kimura(Mobility Technologies) / Masakazu Iwamura(Chubu Univ.) |
| Assistant | Takashi Shibata(NTT) / Masashi Nishiyama(Tottori Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Media detection from cardiovascular OCT images based on deep learning |
| Sub Title (in English) | |
| Keyword(1) | Cardiovascular OCT images |
| Keyword(2) | Segmentation |
| Keyword(3) | fine-tuning |
| 1st Author's Name | jiwei zhang |
| 1st Author's Affiliation | wakayama university(wakayama univ) |
| 2nd Author's Name | kai wang |
| 2nd Author's Affiliation | wakayama university(wakayama univ) |
| 3rd Author's Name | Takashi Kubo |
| 3rd Author's Affiliation | Wakayama Medical university(Wakayama Medical Univ) |
| 4th Author's Name | haiyuan wu |
| 4th Author's Affiliation | wakayama university(wakayama univ) |
| Date | 2021-03-04 |
| Paper # | PRMU2020-80 |
| Volume (vol) | vol.120 |
| Number (no) | PRMU-409 |
| Page | pp.pp.65-70(PRMU), |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (PRMU) |