Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Akie Katsuki"'
Autor:
Hayato Odagiri, Hiroshi Watabe, Kentaro Takanami, Kazuma Akimoto, Akihito Usui, Hirofumi Kawakami, Akie Katsuki, Nozomu Uetake, Yutaka Dendo, Yoshitaka Tanaka, Hiroyasu Kodama, Kei Takase, Tomohiro Kaneta
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0301919 (2024)
IntroductionBrain positron emission tomography/computed tomography (PET/CT) scans are useful for identifying the cause of dementia by evaluating glucose metabolism in the brain with F-18-fluorodeoxyglucose or Aβ deposition with F-18-florbetaben. How
Externí odkaz:
https://doaj.org/article/9cf3238b443649deac4d59f4af69c54a
Autor:
Masatoyo Nakajo, Aya Takeda, Akie Katsuki, Megumi Jinguji, Kazuyuki Ohmura, Atsushi Tani, Masami Sato, Takashi Yoshiura
Publikováno v:
The British Journal of Radiology. 95
Objective: To examine whether the machine-learning approach using 18-fludeoxyglucose positron emission tomography (18F-FDG-PET)-based radiomic and deep-learning features is useful for predicting the pathological risk subtypes of thymic epithelial tum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a150faab1bee621e2e46eb47c01a30b
https://doi.org/10.1259/bjr.20211050
https://doi.org/10.1259/bjr.20211050
Autor:
Masatoyo, Nakajo, Aya, Takeda, Akie, Katsuki, Megumi, Jinguji, Kazuyuki, Ohmura, Atsushi, Tani, Masami, Sato, Takashi, Yoshiura
Publikováno v:
The British journal of radiology. 95(1134)
To examine whether the machine-learning approach using 18-fludeoxyglucose positron emission tomography (This retrospective study included 79 TET [27 low-risk thymomas (types A, AB and B1), 31 high-risk thymomas (types B2 and B3) and 21 thymic carcino
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b78809071ca4cb1a4963eadc085ddb71
https://pubmed.ncbi.nlm.nih.gov/35312337
https://pubmed.ncbi.nlm.nih.gov/35312337
Autor:
Akie Katsuki, Savitha Rani Ravichandran, Zeng Zeng, Su Huang, Balaji Nataraj, Zhongkang Lu, Weimin Huang, Zhiliang Qin
Publikováno v:
BHI
Computed Tomography Coronary Angiography (CTCA) is an effective imaging technique used for diagnosis and surgical planning. Segmentation of the aorta from the CTCA can be used clinically for interpretation, aortic valve measurement for intervention a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::526be1867efdafa1070d9c6b8f1b5fb3
https://doi.org/10.1109/bhi.2019.8834582
https://doi.org/10.1109/bhi.2019.8834582
Publikováno v:
BHI
Automatic segmentation of medical images, such as computed tomography (CT) or magnetic resonance imaging (MRI), plays an essential role in efficient clinical diagnosis. While deep learning have gained popularity in academia and industry, more works h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::652bcebd005dc638282e7ff5aa855c6e
https://doi.org/10.1109/bhi.2019.8834667
https://doi.org/10.1109/bhi.2019.8834667