Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zaid Nabulsi"'
Autor:
Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles Lau, Edward Santos, Atilla P. Kiraly, Wenxing Ye, Jie Yang, Rory Pilgrim, Sahar Kazemzadeh, Jin Yu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia-Vicente, David Melnick, Greg S. Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions. The detection of specific CXR findings has been the main focus of several artificial i
Externí odkaz:
https://doaj.org/article/31c65be9be1043d9a386af4cf67b5c5c
Autor:
Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim, Zaid Nabulsi, Christina Chen, Neeral Beladia, Charles Lau, Scott Mayer McKinney, Thad Hughes, Atilla P. Kiraly, Sreenivasa Raju Kalidindi, Monde Muyoyeta, Jameson Malemela, Ting Shih, Greg S. Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yun Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara
Publikováno v:
Radiology. 306:124-137
Background The World Health Organization (WHO) recommends chest radiography to facilitate tuberculosis (TB) screening. However, chest radiograph interpretation expertise remains limited in many regions. Purpose To develop a deep learning system (DLS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d83a372f7e3189e559d80bc6573e02f2
https://doi.org/10.1148/radiol.212213
https://doi.org/10.1148/radiol.212213
Autor:
Charles Lau, Florencia Garcia-Vicente, Jin Yu, Yun Liu, Greg S. Corrado, Neeral Beladia, Lily Peng, David S. Melnick, Edward Santos, Krish Eswaran, Rory Pilgrim, Andrew Sellergren, Wenxing Ye, Po-Hsuan Cameron Chen, Sahar Kazemzadeh, Shravya Shetty, Daniel Tse, Mozziyar Etemadi, Jie Yang, Zaid Nabulsi, Atilla Peter Kiraly, Shahar Jamshy, Sreenivasa Raju Kalidindi
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions. The detection of specific CXR findings has been the main focus of several artificial intelligen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee4849014129e961b80489c3669837bf
http://europepmc.org/articles/PMC8410908
http://europepmc.org/articles/PMC8410908