Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę ""Sakamoto S"" wg kryterium: Autor


Tytuł:
Predicting central choroidal thickness from colour fundus photographs using deep learning.
Autorzy:
Arai Y; Department of Ophthalmology, Jichi Medical University, Shimotsuke, Tochigi, Japan.
Takahashi H; Department of Ophthalmology, Jichi Medical University, Shimotsuke, Tochigi, Japan.
Takayama T; Department of Ophthalmology, Jichi Medical University, Shimotsuke, Tochigi, Japan.
Yousefi S; Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.; Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.
Tampo H; Department of Ophthalmology, Jichi Medical University, Shimotsuke, Tochigi, Japan.
Yamashita T; Department of Ophthalmology, Kagoshima University, Kagoshima, Japan.
Hasegawa T; Department of Ophthalmology, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Ohgami T; Department of Ophthalmology, Ibaraki Seinan Medical Center, Ibaraki, Japan.
Sonoda S; Department of Ophthalmology, Kagoshima University, Kagoshima, Japan.
Tanaka Y; Department of Ophthalmology, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Inoda S; Department of Ophthalmology, Jichi Medical University, Shimotsuke, Tochigi, Japan.
Sakamoto S; Department of Ophthalmology, Jichi Medical University, Shimotsuke, Tochigi, Japan.
Kawashima H; Department of Ophthalmology, Jichi Medical University, Shimotsuke, Tochigi, Japan.
Yanagi Y; Department of Ophthalmology, Yokohama City University, Kanagawa, Japan.; Medical Retina, Singapore Eye Research Institute, Singapore, Singapore.
Pokaż więcej
Źródło:
PloS one [PLoS One] 2024 Mar 29; Vol. 19 (3), pp. e0301467. Date of Electronic Publication: 2024 Mar 29 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Humans ; Fluorescein Angiography/methods ; Retrospective Studies ; Color ; Choroid/diagnostic imaging ; Fundus Oculi ; Tomography, Optical Coherence/methods
Czasopismo naukowe
Tytuł:
BRCA2-positive lung adenocarcinoma treated with olaparib: A case report.
Autorzy:
Motohashi T; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Isobe K; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Yoshizawa T; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Usui Y; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Shimizu H; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Sekiya M; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Miyoshi S; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Nakamura Y; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Urabe N; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Sakamoto S; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Homma S; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Sadamoto S; Department of Pathology Toho University School of Medicine Tokyo Japan.
Tochigi N; Department of Pathology Toho University School of Medicine Tokyo Japan.
Kishi K; Division of Respiratory Medicine Toho University School of Medicine Tokyo Japan.
Pokaż więcej
Źródło:
Respirology case reports [Respirol Case Rep] 2024 Mar 07; Vol. 12 (3), pp. e01317. Date of Electronic Publication: 2024 Mar 07 (Print Publication: 2024).
Typ publikacji:
Case Reports
Raport
Tytuł:
A0425 - A novel machine learning-based model predicting lymph node metastasis at robotic assisted radical prostatectomy.
Autorzy:
Fuligni, D. (AUTHOR)
Castellani, D. (AUTHOR)
Lucarelli, L. (AUTHOR)
Teoh, J.Y-C. (AUTHOR)
Leung, D. (AUTHOR)
Bugis, A. (AUTHOR)
Azhar, R.A. (AUTHOR)
Ghouse, S.M. (AUTHOR)
Gautam, G. (AUTHOR)
Gauhar, V. (AUTHOR)
Campobasso, D. (AUTHOR)
Campi, R. (AUTHOR)
Sakamoto, S. (AUTHOR)
Palagonia, E. (AUTHOR)
Bocciard, A.M. (AUTHOR)
Lee, H.Y. (AUTHOR)
Rubilotta, E. (AUTHOR)
Antonelli, A. (AUTHOR)
Pastore, A.L. (AUTHOR)
Vasdev, N. (AUTHOR)
Pokaż więcej
Źródło:
European Urology. 2024 Supplement 1, Vol. 85, pS1267-S1268. 2p.
Czasopismo naukowe
Tytuł:
A0827 - Long-term outcomes of a multicenter prospective observational study of active surveillance for early-stage prostate cancer: The PRIAS-JAPAN study.
Autorzy:
Kato, T. (AUTHOR)
Matsumoto, R. (AUTHOR)
Yokomizo, A. (AUTHOR)
Tohi, Y. (AUTHOR)
Fukuhara, H. (AUTHOR)
Fujii, K. (AUTHOR)
Mori, K. (AUTHOR)
Sato, T. (AUTHOR)
Inokuchi, J. (AUTHOR)
Hashine, K. (AUTHOR)
Sakamoto, S. (AUTHOR)
Kinoshita, H. (AUTHOR)
Inoue, K. (AUTHOR)
Tanikawa, T. (AUTHOR)
Utsumi, T. (AUTHOR)
Goto, T. (AUTHOR)
Hara, I. (AUTHOR)
Kakehi, Y. (AUTHOR)
Sugimoto, M. (AUTHOR)
Pokaż więcej
Źródło:
European Urology. 2024 Supplement 1, Vol. 85, pS1840-S1841. 2p.
Czasopismo naukowe

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies