Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Yutaka Emoto"'
Autor:
Koji Onoue, Masahiro Yakami, Mizuho Nishio, Ryo Sakamoto, Gakuto Aoyama, Keita Nakagomi, Yoshio Iizuka, Takeshi Kubo, Yutaka Emoto, Thai Akasaka, Kiyohide Satoh, Hiroyuki Yamamoto, Hiroyoshi Isoda, Kaori Togashi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract To determine whether temporal subtraction (TS) CT obtained with non-rigid image registration improves detection of various bone metastases during serial clinical follow-up examinations by numerous radiologists. Six board-certified radiologis
Externí odkaz:
https://doaj.org/article/dab7b3f43b3f4720b171e47a5460ffdb
Autor:
Masami Kawagishi, Takeshi Kubo, Ryo Sakamoto, Masahiro Yakami, Koji Fujimoto, Gakuto Aoyama, Yutaka Emoto, Hiroyuki Sekiguchi, Koji Sakai, Yoshio Iizuka, Mizuho Nishio, Hiroyuki Yamamoto, Kaori Togashi
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0207661 (2018)
We aimed to describe the development of an inference model for computer-aided diagnosis of lung nodules that could provide valid reasoning for any inferences, thereby improving the interpretability and performance of the system. An automatic construc
Externí odkaz:
https://doaj.org/article/c702c56e7af2433787bd70c182f48c10
Autor:
Mizuho Nishio, Kazuaki Nakane, Takeshi Kubo, Masahiro Yakami, Yutaka Emoto, Mari Nishio, Kaori Togashi
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0178217 (2017)
OBJECTIVE:The purpose of this study was to investigate the relationship between visual score of emphysema and homology-based emphysema quantification (HEQ) and evaluate whether visual score was accurately predicted by machine learning and HEQ. MATERI
Externí odkaz:
https://doaj.org/article/ac6eb7dcdea64cbbb2bc4766d7b064bb
Autor:
Shunjiro Noguchi, Mizuho Nishio, Ryo Sakamoto, Masahiro Yakami, Koji Fujimoto, Yutaka Emoto, Takeshi Kubo, Yoshio Iizuka, Keita Nakagomi, Kazuhiro Miyasa, Kiyohide Satoh, Yuji Nakamoto
Publikováno v:
European Radiology. 32:7976-7987
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::964a3fdf76c958d02f4336078996b58c
https://doi.org/10.1007/s00330-022-08741-3
https://doi.org/10.1007/s00330-022-08741-3
Autor:
Mizuho Nishio, Yutaka Emoto, Kiyohide Satoh, Gakuto Aoyama, Keita Nakagomi, Ryo Sakamoto, Hiroyuki Yamamoto, Takeshi Kubo, Koji Onoue, Hiroyoshi Isoda, Thai Akasaka, Yoshio Iizuka, Kaori Togashi, Masahiro Yakami
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Scientific Reports
Scientific Reports
To determine whether temporal subtraction (TS) CT obtained with non-rigid image registration improves detection of various bone metastases during serial clinical follow-up examinations by numerous radiologists. Six board-certified radiologists retros
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb81c1827d8c6b15d6e63fea54fe357a
https://doaj.org/article/dab7b3f43b3f4720b171e47a5460ffdb
https://doaj.org/article/dab7b3f43b3f4720b171e47a5460ffdb
Autor:
Shunjiro, Noguchi, Mizuho, Nishio, Ryo, Sakamoto, Masahiro, Yakami, Koji, Fujimoto, Yutaka, Emoto, Takeshi, Kubo, Yoshio, Iizuka, Keita, Nakagomi, Kazuhiro, Miyasa, Kiyohide, Satoh, Yuji, Nakamoto
Publikováno v:
European radiology. 32(11)
To develop and evaluate a deep learning-based algorithm (DLA) for automatic detection of bone metastases on CT.This retrospective study included CT scans acquired at a single institution between 2009 and 2019. Positive scans with bone metastases and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e02b5389fb908b0b060efc45d46cc51c
https://pubmed.ncbi.nlm.nih.gov/35394186
https://pubmed.ncbi.nlm.nih.gov/35394186
Autor:
Kaori Togashi, Koji Onoue, Thai Akasaka, Masahiro Yakami, Hiroyuki Yamamoto, Kiyohide Satoh, Gakuto Aoyama, Takeshi Kubo, Yoshio Iizuka, Mizuho Nishio, Keita Nakagomi, Hiroyoshi Isoda, Yutaka Emoto
Publikováno v:
European Radiology. 29:5673-5681
To compare observer performance of detecting bone metastases between bone scintigraphy, including planar scan and single-photon emission computed tomography, and computed tomography (CT) temporal subtraction (TS). Data on 60 patients with cancer who
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b8a2fb1603bd1cc0a996e4161cf7ca
https://doi.org/10.1007/s00330-019-06107-w
https://doi.org/10.1007/s00330-019-06107-w
Autor:
Yutaka Emoto, Koji Onoue, Masahiro Yakami, Thai Akasaka, Yoshio Iizuka, Takeshi Kubo, Mizuho Nishio, Keita Nakagomi, Kaori Togashi, Kiyohide Satoh, Gakuto Aoyama, Hiroyuki Yamamoto
Publikováno v:
European radiology. 29(2):759-769
To assess whether temporal subtraction (TS) images of brain CT improve the detection of suspected brain infarctions. Study protocols were approved by our institutional review board, and informed consent was waived because of the retrospective nature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ef7852951bc3e86a6dad20286fa82ef
http://hdl.handle.net/2433/235441
http://hdl.handle.net/2433/235441
Autor:
Kaori Togashi, Ryo Sakamoto, Koji Fujimoto, Susumu Mori, Yutaka Emoto, Thai Akasaka, Hiroyuki Yamamoto, Masahiro Yakami, Michael I. Miller, Keita Nakagomi, Takeshi Kubo, Gakuto Aoyama
Publikováno v:
Radiology. 285(2):629-639
Purpose To determine the improvement of radiologist efficiency and performance in the detection of bone metastases at serial follow-up computed tomography (CT) by using a temporal subtraction (TS) technique based on an advanced nonrigid image registr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bf410f0f997389496add2cbd6b94420
http://hdl.handle.net/2433/226817
http://hdl.handle.net/2433/226817
Autor:
Yutaka Emoto, Takeshi Kubo, Kaori Togashi, Mizuho Nishio, Keita Nakagomi, Kiyohide Satoh, Gakuto Aoyama, Masahiro Yakami, Ryo Sakamoto, Koji Onoue, Thai Akasaka, Yoshio Iizuka, Hiroyoshi Isoda, Hiroyuki Yamamoto
Publikováno v:
European radiology. 29(12)
Temporal subtraction of CT (TS) images improves detection of newly developed bone metastases (BM). We sought to determine whether TS improves detection of BM by radiology residents as well. We performed an observer study using a previously reported d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e79acd691ebdabbdba0a952857c67ac5
https://pubmed.ncbi.nlm.nih.gov/31273458
https://pubmed.ncbi.nlm.nih.gov/31273458