Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Thanogchai Siriapisith"'
Autor:
Pairash Saiviroonporn, Suwimon Wonglaksanapimon, Warasinee Chaisangmongkon, Isarun Chamveha, Pakorn Yodprom, Krittachat Butnian, Thanogchai Siriapisith, Trongtum Tongdee
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background Artificial intelligence, particularly the deep learning (DL) model, can provide reliable results for automated cardiothoracic ratio (CTR) measurement on chest X-ray (CXR) images. In everyday clinical use, however, this technology
Externí odkaz:
https://doaj.org/article/a6a92c269dce456986863ae07fed0864
Autor:
Pairash Saiviroonporn, Kanchanaporn Rodbangyang, Trongtum Tongdee, Warasinee Chaisangmongkon, Pakorn Yodprom, Thanogchai Siriapisith, Suwimon Wonglaksanapimon, Phakphoom Thiravit
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Artificial Intelligence (AI) is a promising tool for cardiothoracic ratio (CTR) measurement that has been technically validated but not clinically evaluated on a large dataset. We observed and validated AI and manual methods for C
Externí odkaz:
https://doaj.org/article/43771ac3ffc84d769f5417e801d17ea3
Autor:
Trongtum Tongdee, Warasinee Chaisangmongkon, Kanchanaporn Rodbangyang, Phakphoom Thiravit, Pakorn Yodprom, Thanogchai Siriapisith, Pairash Saiviroonporn, Suwimon Wonglaksanapimon
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-11 (2021)
BMC Medical Imaging
BMC Medical Imaging
Background Artificial Intelligence (AI) is a promising tool for cardiothoracic ratio (CTR) measurement that has been technically validated but not clinically evaluated on a large dataset. We observed and validated AI and manual methods for CTR measur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::172db3337fafe745cca1246ea08a555d
https://doaj.org/article/43771ac3ffc84d769f5417e801d17ea3
https://doaj.org/article/43771ac3ffc84d769f5417e801d17ea3
Autor:
Pairash Saiviroonporn, Suwimon Wonglaksanapimon, Warasinee Chaisangmongkon, Isarun Chamveha, Pakorn Yodprom, Krittachat Butnian, Thanogchai Siriapisith, Trongtum Tongdee
Publikováno v:
BMC medical imaging. 22(1)
Background Artificial intelligence, particularly the deep learning (DL) model, can provide reliable results for automated cardiothoracic ratio (CTR) measurement on chest X-ray (CXR) images. In everyday clinical use, however, this technology is usuall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233603a75d3e9ac209047c58f809bac0
https://pubmed.ncbi.nlm.nih.gov/35296262
https://pubmed.ncbi.nlm.nih.gov/35296262