Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Megumi Oya"'
Autor:
Hiroko Inoue, Megumi Oya, Masashi Aizawa, Kyogo Wagatsuma, Masatomo Kamimae, Yusuke Kashiwagi, Masayoshi Ishii, Hanae Wakabayashi, Takayuki Fujii, Satoshi Suzuki, Noriyuki Hattori, Narihito Tatsumoto, Eiryo Kawakami, Katsuhiko Asanuma
Publikováno v:
BMC Nephrology, Vol 24, Iss 1, Pp 1-10 (2023)
Abstract Background Machine Learning has been increasingly used in the medical field, including managing patients undergoing hemodialysis. The random forest classifier is a Machine Learning method that can generate high accuracy and interpretability
Externí odkaz:
https://doaj.org/article/20bd0975b2f141f38efd4e156fea046f
Autor:
Daisuke Hiraoka, Tomohiko Inui, Eiryo Kawakami, Megumi Oya, Ayumu Tsuji, Koya Honma, Yohei Kawasaki, Yoshihito Ozawa, Yuki Shiko, Hideki Ueda, Hiroki Kohno, Kaoru Matsuura, Michiko Watanabe, Yasunori Yakita, Goro Matsumiya
Publikováno v:
JMIR Formative Research, Vol 6, Iss 8, p e35396 (2022)
BackgroundSome attempts have been made to detect atrial fibrillation (AF) with a wearable device equipped with photoelectric volumetric pulse wave technology, and it is expected to be applied under real clinical conditions. ObjectiveThis study is th
Externí odkaz:
https://doaj.org/article/35771b3982a540998da8eaf6494e5e78
Publikováno v:
Radiological Physics and Technology. 14:238-247
This study aims to implement three-dimensional convolutional neural networks (3D-CNN) for clinical target volume (CTV) segmentation for whole breast irradiation and investigate the focus of 3D-CNNs during decision-making using gradient-weighted class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9a160999713b978255995b0b48f0d91
https://doi.org/10.1007/s12194-021-00620-8
https://doi.org/10.1007/s12194-021-00620-8
Autor:
Daisuke Hiraoka, Tomohiko Inui, Eiryo Kawakami, Megumi Oya, Ayumu Tsuji, Koya Honma, Yohei Kawasaki, Yoshihito Ozawa, Yuki Shiko, Hideki Ueda, Hiroki Kohno, Kaoru Matsuura, Michiko Watanabe, Yasunori Yakita, Goro Matsumiya
BACKGROUND Some attempts have been made to detect atrial fibrillation with a wearable device equipped with photoelectric volumetric pulse wave technology, and it is expected to be applied under real clinical conditions. OBJECTIVE This study is the se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81cd2412155a336bfad8abe9b69010cb
https://doi.org/10.2196/preprints.35396
https://doi.org/10.2196/preprints.35396
Publikováno v:
Radiological physics and technology. 14(3)
This study aims to implement three-dimensional convolutional neural networks (3D-CNN) for clinical target volume (CTV) segmentation for whole breast irradiation and investigate the focus of 3D-CNNs during decision-making using gradient-weighted class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::6f6907df936faed7963c7453a9c6477d
https://pubmed.ncbi.nlm.nih.gov/34132994
https://pubmed.ncbi.nlm.nih.gov/34132994