Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mari Tsunomura"'
Autor:
Ikumi Hirose, Mari Tsunomura, Masami Shishikura, Toru Ishii, Yuichiro Yoshimura, Keiko Ogawa-Ochiai, Norimichi Tsumura
Publikováno v:
Journal of Imaging, Vol 8, Iss 7, p 177 (2022)
Colored product textures correspond to particle size distributions. The microscopic images of colorants must be divided into regions to determine the particle size distribution. The conventional method used for this process involves manually dividing
Externí odkaz:
https://doaj.org/article/3b7a7650d17e4cb981761ae00b41a06e
Autor:
Takumi Nagasawa, Kaito Iuchi, Ryo Takahashi, Mari Tsunomura, Raquel Pantojo de Souza, Keiko Ogawa-Ochiai, Norimichi Tsumura, George C. Cardoso
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 1798 (2022)
Photoplethysmographic (PPG) pulses contain information about cardiovascular parameters. In particular, blood pressure can be estimated using PPG pulse decomposition analysis, which assumes that a PPG pulse is composed of the original heart ejection b
Externí odkaz:
https://doaj.org/article/e8023621820c43e4af88bb083e1c7975
Publikováno v:
Color and Imaging Conference. 27:143-148
Autor:
Norimichi Tsumura, Mari Tsunomura, Ryo Takahashi, Takumi Nagasawa, George C. Cardoso, Raquel Pantojo de Souza
Publikováno v:
Optical Diagnostics and Sensing XXI: Toward Point-of-Care Diagnostics.
Blood pressure (BP) is one of the most important indicators of physical and mental health. BP monitoring helps with controlling ailments such as heart disease and may help with stress assessment. Currently, BP measuring technologies use inflatable cu
Autor:
Keiko Ogawa, Ryo Takahashi, Takumi Nagasawa, George C. Cardoso, Mari Tsunomura, Norimichi Tsumura, Raquel Pantojo de Souza
Publikováno v:
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP).
We propose a simple and robust method to measure skin capillary refill time (CRT), which quantitatively assesses the quality of peripheral perfusion of a person, using an iPhone.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030519346
ICISP
ICISP
In this study, U-Net based deep convolutional networks are used to achieve the segmentation of particle regions in a microscopic image of colorants. The material appearance of products is greatly affected by the distribution of the particle size. Fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::426593740d6bd6c81ce304390170f863
https://doi.org/10.1007/978-3-030-51935-3_21
https://doi.org/10.1007/978-3-030-51935-3_21