Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Yongbum Lee"'
Publikováno v:
Measurement: Sensors, Vol 18, Iss , Pp 100089- (2021)
When extracting lesions in medical images using deep learning, the extraction accuracy will be higher if the image quality is good. The purpose of this study is to investigate and comprehend the relationship between the spatial-resolution property of
Externí odkaz:
https://doaj.org/article/0de10bd66c8745a2b8ac83825cff0597
Autor:
Akifumi Yoshida, Yongbum Lee, Norihiko Yoshimura, Tatsuya Kuramoto, Akira Hasegawa, Tsutomu Kanazawa
Publikováno v:
Measurement: Sensors, Vol 18, Iss , Pp 100127- (2021)
This study investigated the usefulness of deep learning methods for segmenting the whole heart region and the cardiac cavity region in pediatric cardiac CT images using U-Net. Dice similarity coefficient (DSC) was used to evaluate the segmentation ac
Externí odkaz:
https://doaj.org/article/569589a60abe47b9ad8d5474cc406cf3
Autor:
Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Yoshiaki Ozaki, Kazunari Ishii, Yongbum Lee
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0245060 (2021)
ObjectiveDespite the high risk of missing lesions in mammography, the missed lesion rate is yet to be clinically established. Further, no breast phantoms with adjustable breast density currently exist. We developed a novel, adjustable-density breast
Externí odkaz:
https://doaj.org/article/d7d8be830f0742b990a4c086e03aa4c0
Autor:
Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Hiroto Kimura, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Seiun Nin, Kazunari Ishii, Yongbum Lee
Publikováno v:
16th International Workshop on Breast Imaging (IWBI2022).
Publikováno v:
ACS Sensors. 6:1012-1021
Reduced graphene oxide and molybdenum disulfide (rGO:MoS2) are the most representative two-dimensional materials, which are promising for a humidity sensor owing to its high surface area, a large number of active sites, and excellent mechanical flexi
Publikováno v:
Radiological Physics and Technology. 13:336-347
Bedside radiography has increasingly attracted attention because it allows for immediate image diagnosis after X-ray imaging. Currently, wireless flat-panel detectors (FPDs) are used for digital radiography. However, adjustment of the X-ray tube and
Publikováno v:
Journal of the Korean Physical Society. 76:1001-1004
The adsorption of sulfur hexafluoride (SF6) by a transition metal-porphyrin structure embedded on the surface of graphene (MN4-graphene) was evaluated using first-principles density functional theory calculations by constructing the adsorption energy
Autor:
Hideyoshi Mitsutake, Haruyuki Watanabe, Aya Sakaguchi, Kiyoshi Uchiyama, Yongbum Lee, Norio Hayashi, Masayuki Shimosegawa, Toshihiro Ogura
Publikováno v:
Nihon Hoshasen Gijutsu Gakkai zasshi. 78(1)
Accurate positioning is essential for radiography, and it is especially important to maintain image reproducibility in follow-up observations. The decision on re-taking radiographs is entrusting to the individual radiological technologist. The evalua
Publikováno v:
Measurement: Sensors, Vol 18, Iss, Pp 100089-(2021)
When extracting lesions in medical images using deep learning, the extraction accuracy will be higher if the image quality is good. The purpose of this study is to investigate and comprehend the relationship between the spatial-resolution property of
Autor:
Akira Hasegawa, Akifumi Yoshida, Tatsuya Kuramoto, Tsutomu Kanazawa, Yongbum Lee, Norihiko Yoshimura
Publikováno v:
Measurement: Sensors, Vol 18, Iss, Pp 100127-(2021)
This study investigated the usefulness of deep learning methods for segmenting the whole heart region and the cardiac cavity region in pediatric cardiac CT images using U-Net. Dice similarity coefficient (DSC) was used to evaluate the segmentation ac