Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Kazufumi YAMAGATA"'
Autor:
Naoki Watanabe, Tomohisa Watari, Yoshihito Otsuka, Masahiko Ito, Kazufumi Yamagata, Miyuki Fujioka
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0303353 (2024)
IntroductionThe study of Klebsiella quasipneumoniae, Klebsiella variicola, and AmpC production in extended-spectrum β-lactamase (ESBL)-producing Klebsiella in Japan is limited, and existing data are insufficient. This study aims to characterize Kleb
Externí odkaz:
https://doaj.org/article/225bafce5bca4e92a7a0975234d6d7b5
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5296 (2023)
The practical applications of automatic recognition and categorization technology for next-generation systems are desired in the clinical laboratory. We approached the identification of reactive lymphocytosis using artificial intelligence (AI) techno
Externí odkaz:
https://doaj.org/article/8898ae9637ab4c9cbeacc4e70e3bcb9f
Autor:
Naoya Aiuchi, Junichi Nakagawa, Hirotake Sakuraba, Takenori Takahata, Kosuke Kamata, Norihiro Saito, Kayo Ueno, Masahiro Ishiyama, Kazufumi Yamagata, Hiroyuki Kayaba, Takenori Niioka
Publikováno v:
Pharmacology Research & Perspectives, Vol 10, Iss 2, Pp n/a-n/a (2022)
Abstract The effects of inflammatory responses and polymorphisms of the genes encoding cytochrome P450 (CYP) (CYP2C19 and CYP3A5), flavin‐containing monooxygenase 3 (FMO3), pregnane X receptor (NR1I2), constitutive androstane receptor (NR1I3), and
Externí odkaz:
https://doaj.org/article/cb35b3cfee6744b3a8c7f9cd6f051d59
Autor:
Naoki Watanabe, Yoshihito Otsuka, Tomohisa Watari, Naoto Hosokawa, Kazufumi Yamagata, Miyuki Fujioka
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0278595 (2022)
The presence of Corynebacterium in blood samples can indicate true bacteremia or contamination, thus complicating the diagnosis of true bacteremia. We aimed to evaluate the usefulness of time to positivity (TTP) in diagnosing true bacteremia and cont
Externí odkaz:
https://doaj.org/article/2408ea617e024fb198d1e4594bde1d60
Autor:
Nahoko Tanaka, Hirotake Sakuraba, Hiroto Hiraga, Ko Mayama, Hidezumi Kikuchi, Dai Kishida, Yui Akemoto, Keisuke Hasui, Shinji Ota, Rina Watanabe, Yasuhisa Murai, Takato Maeda, Kosuke Kamata, Tetsuya Tatsuta, Manabu Sawaya, Daisuke Chinda, Tatsuya Mikami, Kazufumi Yamagata, Yoh Ishiguro, Masanori Tanaka, Shinsaku Fukuda
Publikováno v:
Immunological Medicine, Vol 0, Iss 0, Pp 1-7 (2019)
Myelodysplastic syndromes (MDSs) are a group of myeloid neoplasms characterized by blood cell deformation and dysfunction, and MDS with trisomy 8 is closely linked with intestinal Behçet’s-like diseases. Intestinal Behçet’s-like disease is refr
Externí odkaz:
https://doaj.org/article/e96bd3e1e97e4b3985e8b1b1c18a6668
Publikováno v:
IEICE Transactions on Information and Systems. :707-714
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bf4dbc70ff88d654166d3d028d42816
https://doi.org/10.1587/transinf.2022dlp0066
https://doi.org/10.1587/transinf.2022dlp0066
Autor:
Takuto Tachita, Takenori Takahata, Satoru Yamashita, Toru Ebina, Kosuke Kamata, Kazufumi Yamagata, Yoshiko Tamai, Hirotake Sakuraba
Publikováno v:
International Journal of Hematology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49c08fd08279f8469543e05840f78f76
https://doi.org/10.1007/s12185-023-03607-w
https://doi.org/10.1007/s12185-023-03607-w
Autor:
Yasuo Miki, Kosuke Kamata, Shintaro Goto, Hirotake Sakuraba, Fumiaki Mori, Kazufumi Yamagata, Hiroshi Kijima, Shinsaku Fukuda, Koichi Wakabayashi
Publikováno v:
Neuropathology. 42:204-211
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86d4d54ddaf9955867a101bb3d9c21ec
https://doi.org/10.1111/neup.12792
https://doi.org/10.1111/neup.12792
Publikováno v:
Journal of medical microbiology. 71(6)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f9aa07439ce77a88127b4fe473de9114
https://pubmed.ncbi.nlm.nih.gov/35699119
https://pubmed.ncbi.nlm.nih.gov/35699119
The Effect of Data Augmentation in Deep Learning Approach for Peripheral Blood Leukocyte Recognition
Autor:
Hiroyuki, Nozaka, Miku, Oda, Ami, Sasaki, Honoka, Harako, Mae, Miyazaki, Suzuka, Kaga, Niina, Sakaiya, Kyouka, Kudo, Shou, Kimura, Manabu, Nakano, Miyuki, Fujioka, Kazufumi, Yamagata
Publikováno v:
Studies in health technology and informatics. 290
Data augmentation is reported as a useful technique to generate a large amount of image datasets from a small image dataset. The aim of this study is to clarify the effect of data augmentation for leukocyte recognition with deep learning. We performe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::97cadf2a27adfecba7481c5a663efbe5
https://pubmed.ncbi.nlm.nih.gov/35673016
https://pubmed.ncbi.nlm.nih.gov/35673016