IEICE Technical Committee

Information and Systems-Medical Imaging(Date:2019/01/22)

Presentation

Ginji Hirano(Kindai Univ.), Takashi Nagaoka(Kindai Univ.),

[Date]2019-01-22
[Paper #]MI2018-65

Consideration of Influence of Identification Result which occur Individual Difference of Manual Cutting for Disease part of Oral Image in Oral Mucosal Disease Diagnosis Support System

Nanto Ozaki(KIT), Taishi Ohtani(KDC), Manabu Habu(KDC), Kazuhiro Tominaga(KDC), Keiichi Horio(KIT),

[Date]2019-01-22
[Paper #]MI2018-80

Segmentation of lung nodules on 3D CT images by using DeconvNet and V-Net

Shunsuke Kidera(Yamaguchi Univ.), Shoji Kido(Yamaguchi Univ.), Yasushi Hirano(Yamaguchi Univ.), Nobuyuki Tanaka(Saiseikai Hosp),

[Date]2019-01-22
[Paper #]MI2018-85

[Invited Talk] Cell and tissue imaging generated by nanoparticles and Precision Medicine support

Yasushi Nakano(KonicaMinolta), Hisatake Okada(KonicaMinolta), Naoko Furusawa(KonicaMinolta), Kohsuke Godna(Tohouku Univ.),

[Date]2019-01-22
[Paper #]MI2018-64

[Poster Presentation] Computerized Identification Method for Gene Expression on Pathological Images using Deep Learning

Akiyoshi Hizukuri(Ritsumeikan Univ.), Ryohei Nakayama(Ritsumeikan Univ.), Kodama Yoshinori(Kyoto Pref. Univ. Med./Osaka national hospital), Masayuki Mano(Osaka national hospital), Ema Yoshioka(Osaka national hospital), Daisuke Kanematsu(Osaka national hospital), Tomoko Shofuda(Osaka national hospital), Yonehiro Kanemura(Osaka national hospital),

[Date]2019-01-22
[Paper #]MI2018-66

Research on macular analysis based on OCT angiography image analysis

Shinnosuke Yamaoka(Kagoshima Univ.), Shinya Fukumoto(Kagoshima Univ.), Masayuki Kashima(Kagoshima Univ.), Kiminori Sato(Kagoshima Univ.), Mutsumi Watanabe(Kagoshima Univ.), Hideki Shiihara(Kagoshima Univ.), Syozo Sonoda(Kagoshima Univ.), Taiji Sakamoto(Kagoshima Univ.),

[Date]2019-01-22
[Paper #]MI2018-81

[Fellow Memorial Lecture] Recognition of organs and lesions from medical images

Akinobu Shimizu(TUAT),

[Date]2019-01-22
[Paper #]MI2018-86

[Short Paper] Improvement of a gallbladder segmentation algorithm from a contrast enhanced CT volume

Tomomi Yamanaka(TUAT), Atsushi Saito(TUAT), Sigeru Nawano(IUHW), Junji Ueno(Tokushima Univ.), Masafumi Harada(Tokushima Univ.), Akinobu Shimizu(TUAT),

[Date]2019-01-22
[Paper #]MI2018-67

Super-resolution of μCT image about dissected lung tissue using Adversarial Dense U-net

Tong Zheng(Nagoya University), Hirohisa Oda(Nagoya University), Holger R. Roth(Nagoya University), Masahiro Oda(Nagoya University), Shota Nakamura(Nagoya University), Kensaku Mori(Nagoya University/NII),

[Date]2019-01-22
[Paper #]MI2018-61

[Short Paper] An analysis of eye movements during medical image interpretation using unsupervised clustering techniques

Satoshi Kamikawa(NAIST), Tetsuo Sato(GCHS), Takayoshi Terashita(GCHS), Ryohei Eguchi(NAIST), Shigehiko Kanaya(NAIST),

[Date]2019-01-22
[Paper #]MI2018-68

［ショートペーパー］体幹部CT画像における脊柱起立筋の付着領域と筋束特徴を用いた筋束走行の表現手法の開発

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[Date]2019-01-22
[Paper #]MI2018-69

[Poster Presentation] Improvement of Image Quality of Ultra-Low Dose CT Images Using Different CNNs in Each of Lung Region and The Other Region

Motonari Sakurai(Ritsumeikan Univ.), Ryohei Nakayama(Ritsumeikan Univ.), Mitsuhiko Asao(Ritsumeikan Univ.), Akiyoshi Hizukuri(Ritsumeikan Univ.), Yasutaka Ichikawa(Mie University), Kakuya Kitagawa(Mie University), Hazime Sakuma(Mie University),

[Date]2019-01-22
[Paper #]MI2018-70

[Poster Presentation] Identification of Organs from Pathological Specimen using Deep Learning

Norihiro Naito(Ritsumeikan Univ), Ryohei Nakayama(Ritsumeikan Univ), Akiyoshi Hizukuri(Ritsumeikan Univ), Mafumi Kurozumi(Shiga Genaral Hospital), Toshiaki Manabe(Shiga Genaral Hospital),

[Date]2019-01-22
[Paper #]MI2018-71

Deep learning-based segmentation of head anatomical structures using multi-modal images

Takaaki Sugino(Nagoya Univ.), Holger R. Roth(Nagoya Univ.), Masahiro Oda(Nagoya Univ.), Taichi kin(Univ. of Tokyo), Kensaku Mori(Nagoya Univ.),

[Date]2019-01-22
[Paper #]MI2018-77

A Study on Automated Lymph Node Matching Method Considering Abdominal Organs Deformation in Follow-up CT Volumes

Tachi Koki(Nagoya Univ.), Masahiro Oda(Nagoya Univ.), Yuichiro Hayashi(Nagoya Univ.), Hayato Itoh(Nagoya Univ.), Yoshihiko Nakamura(TNT), Takayuki Kitasaka(AIT), Kazunari Misawa(ACC), Kensaku Mori(Nagoya Univ.),

[Date]2019-01-22
[Paper #]MI2018-84

［ショートペーパー］眼底画像に基づくDONFL（Dissociated Optic Nerve Fiber Layer）の病変経過予測の可能性の検討

Kohei Uei(KGU), Koh Kakusho(KGU), Takeshi Okadome(KGU), Hisashi Fukuyama(HCM), Fumi Gomi(HCM),

[Date]2019-01-22
[Paper #]MI2018-72

[Short Paper] Automatic standardization of data for personal identification using deep learning in dental panoramic X-ray images

Yudai Yanashita(Gifu U), Chisako Muramatsu(Gifu U), Xiangrong Zhou(Gifu U), Wataru Nishiyama(Asahi U), Tatsuro Hayashi(media), Takeshi Hara(Gifu U), Akitoshi Katsumata(Asahi U), Hiroshi Fujita(Gifu U),

[Date]2019-01-22
[Paper #]MI2018-73

[Short Paper] Detection of multiple organs in 3D CT images by using a deep learning

Takuya Kojima(Gifu Univ.), Xiangrong Zhou(Gifu Univ.), Takeshi Hara(Gifu Univ.), Hiroshi Fujita(Gifu Univ.),

[Date]2019-01-22
[Paper #]MI2018-74

[Short Paper] Study on subtype classification of malignant lymphoma using immunostaining information

Noriaki Hashimoto(Nagoya Inst. of Tech.), Kaho Ko(Nagoya Inst. of Tech.), Daisuke Fukushima(Nagoya Inst. of Tech.), Tatsuya Yokota(Nagoya Inst. of Tech.), Masato Nakaguro(Nagoya Univ. Hospital), Kei Kohno(Nagoya Univ. Hospital), Shigeo Nakamura(Nagoya Univ. Hospital), Ichiro Takeuchi(Nagoya Inst. of Tech./RIKEN/NIMS), Hidekata Hontani(Nagoya Inst. of Tech.),

[Date]2019-01-22
[Paper #]MI2018-83

[Short Paper] Improvement of super-resolution process of a lung micro CT volume by generative adversarial network

Katsuki Tozawa(Tokyo University of Agriculture and Technology), Atsushi Saito(Tokyo University of Agriculture and Technology), Shoji Kido(Yamaguchi Univ.), Kunihiro Inai(University of Fukui), Hirohiko Kimura(University of Fukui), Akinobu Shimizu(Tokyo University of Agriculture and Technology),

[Date]2019-01-22
[Paper #]MI2018-60