| Presentation | 2021-03-04 Quantifying detection quality in the presence of adversarial inputs in dermatological images Mishra Sourav, Hideaki Imaizumi, Toshihiko Yamasaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have tested deep learning based detection on dermatological conditions commonly encountered in clinical settings. Despite successes in diagnosing critical and morbid conditions such as Melanoma, it is not well understood if such models can reduce the patient burden on doctors by screening benign diseases. Most projects traditionally use pristine data acquired in controlled conditions. This may not reflect regular clinical workflows where image quality is non-ideal. We test the performance of deep learning methods on such data by simulating imperfections on user-submitted images of common disease labels. In our study, we have found the overall predictions change significantly despite robust training, contraindicating the maturity to enter mainstream medical diagnostics. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | deep learningdermatology |
| Paper # | PRMU2020-82 |
| 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 | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quantifying detection quality in the presence of adversarial inputs in dermatological images |
| Sub Title (in English) | |
| Keyword(1) | deep learningdermatology |
| 1st Author's Name | Mishra Sourav |
| 1st Author's Affiliation | University of Tokyo(UTokyo) |
| 2nd Author's Name | Hideaki Imaizumi |
| 2nd Author's Affiliation | exMedio(exMedio) |
| 3rd Author's Name | Toshihiko Yamasaki |
| 3rd Author's Affiliation | University of Tokyo(UTokyo) |
| Date | 2021-03-04 |
| Paper # | PRMU2020-82 |
| Volume (vol) | vol.120 |
| Number (no) | PRMU-409 |
| Page | pp.pp.77-82(PRMU), |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (PRMU) |