Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yoshihide Sawa"'
Autor:
Kazuki Terashima, Takahiro Sato, Yoshihide Sawa, Masakazu Shimizu, Toshihiro Yanou, Ryoji Ida
Publikováno v:
Japanese Journal of Radiological Technology. 72:1074-1083
BACKGROUND Though the dosimetric criteria for the gastrointestinal tract were met, late gastrointestinal toxicity was seen in several cases. Therefore, we thought that it was caused by the positional variation of gastrointestine surrounding pancreati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ece11b2b0ed673e7b73521fadcf2e92
https://doi.org/10.6009/jjrt.2016_jsrt_72.11.1074
https://doi.org/10.6009/jjrt.2016_jsrt_72.11.1074
Autor:
Hiroshi Ikeda, Teruki Teshima, Toshihiko Inoue, Takashi Uno, Ryusuke Hara, Minako Sumi, Yoshihide Sawa
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 55:626-632
Purpose: To evaluate the practice process using the national average (NA); to compare differences in the process of care by age group; and to provide a preliminary outcome data for limited-stage small-cell lung cancer in Japan. Methods and Materials:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8538a2ed26aa2d1489151a81108eeef
https://doi.org/10.1016/s0360-3016(02)03996-2
https://doi.org/10.1016/s0360-3016(02)03996-2
Autor:
Yoshihide Sawada, Keigo Nakamura
Publikováno v:
IEEE Access, Vol 10, Pp 41758-41765 (2022)
With the increasing demands for accountability, interpretability is becoming an essential capability for real-world AI applications. However, most methods utilize post-hoc approaches rather than training the interpretable model. In this article, we p
Externí odkaz:
https://doaj.org/article/3dd5b8df36ae4c7185c358c1b83528b6
Publikováno v:
Sensors, Vol 22, Iss 8, p 2876 (2022)
Biologically inspired spiking neural networks (SNNs) are widely used to realize ultralow-power energy consumption. However, deep SNNs are not easy to train due to the excessive firing of spiking neurons in the hidden layers. To tackle this problem, w
Externí odkaz:
https://doaj.org/article/21548fe9a6374ca3998226c9a4d4ffed
Autor:
Nobuhiro Hayashi, Yoshihide Sawada, Kei Ujimoto, Syunta Yamaguchi, Yoshikuni Sato, Takahiro Miki, Toru Nakada, Toshiaki Iba
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1967 (2021)
An accuracy of ≥98% was achieved in sepsis diagnosis using serum samples from 30 sepsis patients and 68 healthy individuals and a high-performance two-dimensional polyacrylamide gel electrophoresis (HP-2D-PAGE) method developed here with deep learn
Externí odkaz:
https://doaj.org/article/3b09c884daae4c6c9dbf196ad958398f
Publikováno v:
Applied Sciences, Vol 9, Iss 8, p 1623 (2019)
Daily questionnaires from mobile applications allow large amounts of data to be collected with relative ease. However, these data almost always suffer from missing data, be it due to unanswered questions, or simply skipping the survey some days. Thes
Externí odkaz:
https://doaj.org/article/afaf0e3b034c49d6af9042d43f0bdc1e
Autor:
Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Shunta Yamaguchi, Kei Ujimoto, Nobuhiro Hayashi
Publikováno v:
Applied Sciences, Vol 9, Iss 1, p 128 (2019)
This paper proposes a target vector modification method for the all-transfer deep learning (ATDL) method. Deep neural networks (DNNs) have been used widely in many applications; however, the DNN has been known to be problematic when large amounts of
Externí odkaz:
https://doaj.org/article/489f3cc2dff94c81b4f6141cb78978a4