Search

Your search keyword '"Yoshitomi H"' showing total 742 results
Start Over Author "Yoshitomi H"
742 results on '"Yoshitomi H"'

5. POS0241 MONOCYTE-DERIVED TRANSCRIPTOMES EXPLAIN THE INEFFECTIVENESS OF ABATACEPT IN RHEUMATOID ARTHRITIS

Author

Iwasaki, T., primary, Watanabe, R., additional, Ito, H., additional, Fujii, T., additional, Ohmura, K., additional, Yoshitomi, H., additional, Murata, K., additional, Murakami, K., additional, Onishi, A., additional, Tanaka, M., additional, Matsuda, S., additional, Matsuda, F., additional, Morinobu, A., additional, and Hashimoto, M., additional

Published
2023
Full Text
View/download PDF

6. Characterization of small radiophotoluminescence dosemeter in terms of HP(0.07) for extremity dose monitoring of medical personnel.

Author

Kowatari, M, Yoshitomi, H, Nagamoto, K, Nakagami, K, Moritake, T, and Kunugita, N

Subjects
MEDICAL personnel, PATIENT monitoring, RADIATION exposure, RADIATION protection, GLASS
Abstract

An additional extremity monitoring using a ring badge must be appropriately conducted for inhomogeneous exposure around radiation workers' extremity. Commercially available glass dosemeters are characterized in terms of Hp (0.07) for the application of additional extremity monitoring. A series of experiments demonstrated that the response of the model GD-352M radiophotoluminescence dosemeter fully matched the IEC's criteria for an extremity dosemeter for medical personnel. Although the model GD-302M has excellent angular dependence, the material and the shape of energy compensation filter still need to be optimized to improve its energy dependence in the range between 30 and 100 keV. The combine use of both types of glass dosemeters for 'paired dosemeter' together with introduction of a simple algorithm may be a promising method to improve the response in the energy range below 20 keV. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

24. Lipid droplet detection in histopathological images using reinforcement learning

Author

Yoshitomi Harada, Haruto Nishida, and Keiko Matsuura

Subjects
Histopathological image, lipid droplets, Q-learning, optimization, random forest, Biotechnology, TP248.13-248.65
Abstract

AbstractThe identification and analysis of lipid droplets in pathological images are pivotal owing to the variations in their size, shading and shape. The development of an artificial intelligence-based automatic detection method can facilitate the analysis of complex pathological images and provide essential support to pathologists. In this paper, we introduce a novel approach for the automated detection of lipid droplets, employing a limited set of images and a modest application of reinforcement learning (RL). Several filters tailored to lipid droplet size and contrast are used in combination. Through the combination of multiple filters using RL, potential lipid droplet regions are identified within pathological images. Subsequently, a random forest classifier is employed to distinguish between normal and lipid droplet images. Evaluation guided by the expertise of two pathologists with over 10 years of clinical experience indicated the hierarchical extraction of lipid droplets with consistent size and shading in pathological tissue images utilizing RL. The proposed method successfully detected lipid droplets in pathological images and facilitated the determination of both the quantity and distribution of lipid droplets within cells. The results highlight the efficacy of the approach in lipid droplet detection. This method is also useful for small to medium-sized fat droplets, which are relatively difficult for humans to detect from their morphology.

Published
2024
Full Text
View/download PDF

37. EXPOSURE INHOMOGENEITY FROM 241AM AND 90SR/90Y SOURCES IN TERMS OF THE EYE LENS MONITORING IN THE NUCLEAR FACILITIES.

Author

Yoshitomi, H and Kowatari, M

Subjects
NUCLEAR facilities, STRONTIUM, PERSONAL protective equipment, NUCLEAR industry, SAFETY appliances, EYE
Abstract

This article highlights the issues of exposure inhomogeneity that are relative to eye lens monitoring for low-energy photons from 241Am and beta-rays from 90Sr/90Y including a personal protective equipment because eye lens exposure has been concerned more than before due to the proposed reduction of relevant dose limit. These nuclides are common and concerned sources in the nuclear industry. Our previous study presented a quantitative estimation of exposure inhomogeneity, which was applied to simple but typical exposure situations. For the present study, exposure inhomogeneity of 241Am was approximately within a factor of 1.6, implying a more homogeneous situation than expected. Regarding 90Sr/90Y exposure, estimation from both H p(10) and H p(0.07) on trunk would lead to an over- or underestimation by a factor of more than 10. In contrast, H p(3) measurement on trunk will improve by up to a factor of 2. With respect to the personal protective equipment, lead apron and protective glasses are effective for the 60-keV photons for both anterior-posterior and rotational irradiations, while a full-face respirator can reduce the eye lens dose by approximately 17% for 90Sr/90Y betas. As a whole, this study demonstrated that the effect of protective equipment could be effectively incorporated into the homogeneity evaluation. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

40. Cinical outcome of ALPPS: A single institute experience

Author

Sakai, N., primary, Yoshitomi, H., additional, Furukawa, K., additional, Takayashiki, T., additional, Kuboki, S., additional, Takano, S., additional, Suzuki, D., additional, Kagawa, S., additional, Miyazaki, M., additional, and Ohtsuka, M., additional

Published
2018
Full Text
View/download PDF

50. QUANTITATIVE ESTIMATION OF EXPOSURE INHOMOGENEITY IN TERMS OF EYE LENS AND EXTREMITY MONITORING FOR RADIATION WORKERS IN THE NUCLEAR INDUSTRY.

Author

Yoshitomi, H, Kowatari, M, Hagiwara, M, Nagaguro, S, and Nakamura, H

Subjects
MONTE Carlo method, RADIATION dosimetry, NUCLEAR industry, RADIATION doses, EMPLOYEES, RADIATION protection, EYE, POSITRONS
Abstract

To manage the equivalent doses for radiation workers, exposure inhomogeneity is an important factor in the decision-making process related to protection measures and additional monitoring. Our previous study proposed the methodology to evaluate the inhomogeneity of exposure quantitatively. In this study, we applied proposed method to five different types of actual exposure situations encountered in the nuclear industry. Two of them were conventionally characterized as homogeneous exposure, and the other three were conventionally characterized as inhomogeneous exposure. The evaluation of homogeneity exposure was conducted using Monte Carlo calculations with two simplified models, which were then verified with phantom experiments. Consequently, all of the evaluations reproduced the experimental results, implying that our proposed method would be applicable for actual work conditions in the nuclear industry. Furthermore, the two presumed homogeneous exposure situations were found to be rather inhomogeneous because of the contribution of positrons and the limited source region. The results also show that the worker's posture has an impact on the inhomogeneity rather than the energy of incident radiation in nuclear works. The investigation also implies that obtaining the information on the most probable posture of the exposed worker, as well as the existence of the weekly penetrating radiation such as β± ray as a main source of exposure would be the key for more precise estimation. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results