| Presentation | 2020-05-29 [Poster Presentation] Tumor detection from colonoscopy Whole Slice Images By Deep Learning Cherubin Mugisha, Incheon Paik, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Image semantic segmentation is a technique of segregating an image into many parts. The goal of this research was to use High-resolution whole slice images from colonoscopy exams and identify tumors and trace its borders with the highest precision of an expert. We modified the U-net architecture that we used to train high-resolution images and test our results. Having enough data is not easy in biomedical imaging, so we had to work on data augmentation to get data from 250 images up to 3200. As a result, the accuracy was 92.49% with a mean of Intersection over Union (IoU) of 0.44. this result shows that AI and Image processing can help to automate tumor assessment by coupling models with devices that produce those images as a service. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / Biomedical Image / WSI / U-net / Tumor |
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| Date of Issue |
| Conference Information | |
| Committee | SC |
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| Conference Date | 2020/5/29(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online/Univ of Aizu |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | AI Application for Service Computing Environment and Other Issues |
| Chair | Masahide Nakamura(Kobe Univ.) |
| Vice Chair | Shinji Kikuchi(NIMS) / Yoji Yamato(NTT) |
| Secretary | Shinji Kikuchi(Tokyo Univ. of Tech.) / Yoji Yamato(Fujitsu Lab.) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Service Computing |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Tumor detection from colonoscopy Whole Slice Images By Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Biomedical Image |
| Keyword(3) | WSI |
| Keyword(4) | U-net |
| Keyword(5) | Tumor |
| 1st Author's Name | Cherubin Mugisha |
| 1st Author's Affiliation | The University of Aizu(School of Computer Science and Engineering) |
| 2nd Author's Name | Incheon Paik |
| 2nd Author's Affiliation | The University of Aizu(School of Computer Science and Engineering) |
| Date | 2020-05-29 |
| Paper # | |
| Volume (vol) | vol.120 |
| Number (no) | SC-49 |
| Page | pp.pp.-(), |
| #Pages | |
| Date of Issue | |