Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Levent Sensoy"'
Autor:
Wen Chen, Yimin Li, Nimu Yuan, Jinyi Qi, Brandon A. Dyer, Levent Sensoy, Stanley H. Benedict, Lu Shang, Shyam Rao, Yi Rong
Publikováno v:
Frontiers in Artificial Intelligence, Vol 3 (2021)
Purpose: To assess image quality and uncertainty in organ-at-risk segmentation on cone beam computed tomography (CBCT) enhanced by deep-learning convolutional neural network (DCNN) for head and neck cancer.Methods: An in-house DCNN was trained using
Externí odkaz:
https://doaj.org/article/8048f3dbae914053ba9fafadec0bd6ee
Publikováno v:
Klimik Dergisi/Klimik Journal. 36:52-57
Objective: Extrapulmonary tuberculosis (EPTB) can be easily missed due to challenges in diagnosis or overlooked in the differential diagnosis. Therefore, EPTB should be considered in endemic regions, especially in the differential diagnosis of fever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25b11e8296fa9f070695dcb4f00d528
https://doi.org/10.36519/kd.2023.4206
https://doi.org/10.36519/kd.2023.4206
Autor:
John Sunderland, Levent Sensoy
Publikováno v:
2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).
In this study, we investigated sensitivity and the reconstructed spatial resolution and image quality of a prototype small animal positron emission tomography (PET) scanner designed specifically for imaging of excised murine tissue and organs. We aim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8035e4ddd6800bb9c092db40ba231de5
https://doi.org/10.1109/nssmic.2016.8069411
https://doi.org/10.1109/nssmic.2016.8069411