Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Taisuke Kodama"'
Autor:
Hiroshi Tsuji, Shioya Ayako, Norio Takayashiki, Toshiyuki Irie, Satoshi Itoi, Taisuke Kodama, Yuki Kaji, Ryota Matsuoka, Ryota Mashiko, Yasushi Shibata, Akiko Ishii, Yuko Siato, Akira Tamaoka
Publikováno v:
eNeurologicalSci, Vol 14, Iss , Pp 21-23 (2019)
Meningeal carcinomatosis is a unique and rare form of metastasis observed in patients with malignant tumours. Diagnosis is simple when the primary lesion of the malignant tumour is clear, and when multiple miliary lesions are confirmed via cranial co
Externí odkaz:
https://doaj.org/article/2bbd3ed2fedf41278d3014e734af4694
Autor:
Hiroshi Ito, Yuki Kitagawa, Toshiya Nakashima, Satoshi Kobanawa, Kento Uki, Jura Oshida, Taisuke Kodama, Daiki Kobayashi
Publikováno v:
Infectious Diseases in Clinical Practice; Jul2024, Vol. 32 Issue 4, p1-5, 5p
Autor:
Yuki Koizumi, Michiaki Higashitani, Sayato Fukui, Taisuke Kodama, Hiroshi Ito, Daiki Kobayashi
Publikováno v:
Cureus.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a22a40dffc426ddea0390e6ed89e94fb
https://doi.org/10.7759/cureus.36498
https://doi.org/10.7759/cureus.36498
Publikováno v:
JEM Reports. 2:100041
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d4e4e8fc13a28d3b3984a5964eb2d60
https://doi.org/10.1016/j.jemrpt.2023.100041
https://doi.org/10.1016/j.jemrpt.2023.100041
Autor:
Yuki Kaji, Hiroshi Tsuji, Ryota Matsuoka, Akira Tamaoka, Satoshi Itoi, Toshiyuki Irie, Ryota Mashiko, Yasushi Shibata, Taisuke Kodama, Yuko Siato, Norio Takayashiki, Shioya Ayako, Akiko Ishii
Publikováno v:
eNeurologicalSci, Vol 14, Iss, Pp 21-23 (2019)
eNeurologicalSci
eNeurologicalSci
Meningeal carcinomatosis is a unique and rare form of metastasis observed in patients with malignant tumours. Diagnosis is simple when the primary lesion of the malignant tumour is clear, and when multiple miliary lesions are confirmed via cranial co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::513a90f183d3f5f0d66e5a8f2a536679
http://www.sciencedirect.com/science/article/pii/S2405650218300509
http://www.sciencedirect.com/science/article/pii/S2405650218300509
Autor:
Go Matsukawa, Koichi Kajihara, Hiroshi Kawaguchi, Yuri Nishizumi, Taisuke Kodama, Shintaro Izumi, Toshio Goto, Takeo Kato, Chikako Nakanishi, Masahiko Yoshimoto
Publikováno v:
SiPS
This paper describes FPGA implementation of object recognition processor for HDTV resolution 30 fps video using the Sparse FIND feature. Two-stage feature extraction processing by HOG and Sparse FIND, a highly parallel classification in the support v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::092da1b2fcd8516c3590b94ae58144ab
https://doi.org/10.1109/sips.2017.8109993
https://doi.org/10.1109/sips.2017.8109993
Autor:
Go Matsukawa, Taisuke Kodama, Yuri Nishizumi, Koichi Kajihara, Chikako Nakanishi, Shintaro Izumi, Hiroshi Kawaguchi, Toshio Goto, Takeo Kato, Masahiko Yoshimoto
Publikováno v:
IEICE Electronics Express. 15:20188003-20188003
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7802f7984acf652cfdebd7956d39c3af
https://doi.org/10.1587/elex.15.20188003
https://doi.org/10.1587/elex.15.20188003
Autor:
Shintaro Izumi, Taisuke Kodama, Masahiko Yoshimoto, Kazusuke Maenaka, Hiroshi Kawaguchi, Kana Masaki
Publikováno v:
EMBC
Recently, given Japan's aging society background, wearable healthcare devices have increasingly attracted attention. Many devices have been developed, but most devices have only a sensing function. To expand the application area of wearable healthcar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a46d52a90d74fc302aaa18413e2f617
https://doi.org/10.1109/embc.2015.7318575
https://doi.org/10.1109/embc.2015.7318575
Autor:
Takeo Kato, Taisuke Kodama, Go Matsukawa, Chikako Nakanishi, Toshio Goto, Hiroshi Kawaguchi, Masahiko Yoshimoto, Shintaro Izumi, Yuri Nishizumi, Koichi Kajihara
Publikováno v:
IEICE Electronics Express. 14(15):20170668-20170668
This paper describes a low-power object recognition processor VLSI for HDTV resolution video at 60 frames per second (fps) using an object recognition algorithm with Sparse FIND features. The VLSI processor features two-stage feature extraction proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93d856caae4f437c89d6deda09e321af
https://hdl.handle.net/20.500.14094/90004285
https://hdl.handle.net/20.500.14094/90004285