| Presentation | 2019-01-23 Investigation of relationships between image features of histological images in prostate cancer and Gleason scores Kenta Ninomiya, Hidetaka Arimura, Ryoma Koyanagi, Fumio Kinoshita, Alamgir Hossain, Sumiko Watanabe, Kenjiro Imada, Yoshinao Oda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We aimed to investigate relationships between quantitative image features and Gleason scores that are subjectively determined in clinical practice. The 54 image features were calculated based on histograms and textures such as gray-level co-occurrence, run-length, size-zone, and neighborhood gray-tone difference matrices within cancer regions in grayscale histological images of components for red, green and blue. There were statistically significant differences in feature means between high (? 4+3) and low (? 3+4) Gleason score groups (t-test, p < 0.05). Our study demonstrated a capability of quantitative image features to stratify prostate cancer histological images into high and low Gleason scores groups. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | prostate cancer / histological images / Gleason scores / texture analysis |
| Paper # | MI2018-112 |
| Date of Issue | 2019-01-15 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2019/1/22(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| Chair | Kensaku Mori(Nagoya Univ.) |
| Vice Chair | Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) |
| Secretary | Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.) |
| Assistant | Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | Medical Imaging |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Investigation of relationships between image features of histological images in prostate cancer and Gleason scores |
| Sub Title (in English) | |
| Keyword(1) | prostate cancer |
| Keyword(2) | histological images |
| Keyword(3) | Gleason scores |
| Keyword(4) | texture analysis |
| 1st Author's Name | Kenta Ninomiya |
| 1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 2nd Author's Name | Hidetaka Arimura |
| 2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 3rd Author's Name | Ryoma Koyanagi |
| 3rd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 4th Author's Name | Fumio Kinoshita |
| 4th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 5th Author's Name | Alamgir Hossain |
| 5th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 6th Author's Name | Sumiko Watanabe |
| 6th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 7th Author's Name | Kenjiro Imada |
| 7th Author's Affiliation | Kyushu University Hospital(Kyushu Univ. Hosp.) |
| 8th Author's Name | Yoshinao Oda |
| 8th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| Date | 2019-01-23 |
| Paper # | MI2018-112 |
| Volume (vol) | vol.118 |
| Number (no) | MI-412 |
| Page | pp.pp.229-232(MI), |
| #Pages | 4 |
| Date of Issue | 2019-01-15 (MI) |