Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sadato Akahori"'
Autor:
Yuhei Takeshita, Shiro Onozawa, Shichiro Katase, Yuya Shirakawa, Kouji Yamashita, Jun Shudo, Akihito Nakanishi, Sadato Akahori, Kenichi Yokoyama
Publikováno v:
Journal of International Medical Research, Vol 52 (2024)
Objectives To apply image registration in the follow up of lung nodules and verify the feasibility of automatic tracking of lung nodules using an artificial intelligence (AI) method. Methods For this retrospective, observational study, patients with
Externí odkaz:
https://doaj.org/article/52a81d8e29794560a2a219357cfbd020
Autor:
Atsushi Tachibana, Sadato Akahori, Ken Uekawa, Toshihiro Amadatsu, Mizuki Takei, Shigeo Yamashiro, Masatomo Kaji, Shuichiro Okumura, Toru Nishi
Publikováno v:
Neurologia medico-chirurgica
Subarachnoid hemorrhage (SAH) is a serious cerebrovascular disease with a high mortality rate and is known as a disease that is hard to diagnose because it may be overlooked by noncontrast computed tomography (NCCT) examinations that are most frequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa08fdb05fc0ece00005bbdfca32ec0b
https://doi.org/10.2176/nmc.oa.2021-0124
https://doi.org/10.2176/nmc.oa.2021-0124
Autor:
Hiroshi Honda, Yasuhiro Ushijima, Daisuke Kakihara, Akihiro Nishie, Keisuke Ishimatsu, Sadato Akahori, Tomoharu Yoshizumi, Seiichiro Takao, Nobuhiro Fujita, Yoshiki Asayama, Kousei Ishigami, Yuanzhong Li, Koichiro Morita, Kenichi Kohashi, Tomohiro Nakayama, Yukihisa Takayama
Publikováno v:
Anticancer Research. 39:1417-1424
Aim To investigate whether liver fibrosis can be predicted by quantifying the deformity of the liver obtained based on computed tomographic (CT) images scanned under respiratory control. Materials and methods For dynamic CT of 47 patients, portal ven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22d2caa90aef1c8a2bb2cf857a771fae
https://doi.org/10.21873/anticanres.13257
https://doi.org/10.21873/anticanres.13257
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb01c4a947d290ccc80c3245703bd059
https://doi.org/10.1117/12.2549176
https://doi.org/10.1117/12.2549176
Autor:
Shuichiro Okumura, Koichi Ikeno, Kenichiro Yi, Yoshimasa Matsuo, Masaki Naganuma, Toshiro Yonehara, Sadato Akahori, Atsushi Tachibana, Takuya Fuchigami
Publikováno v:
Journal of Stroke and Cerebrovascular Diseases. 30:105791
Objectives The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a promising tool for the evaluation of stroke expansion to determine suitability for reperfusion therapy. The aim of this study was to validate deep learning-based ASP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5517137157e74c39ffcc4cbdc5235c64
https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.105791
https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.105791