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pro vyhledávání: '"Waritsara Lertchanyaphan"'
A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation
Autor:
Rujira Wanotayan, Khaisang Chousangsuntorn, Phasit Petisiwaveth, Thunchanok Anuttra, Waritsara Lertchanyaphan, Tanwiwat Jaikuna, Kulachart Jangpatarapongsa, Pimpon Uttayarat, Teerawat Tongloy, Chousak Chousangsuntorn, Siridech Boonsang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX (phosphorylated form of H2AX histone variant) has become one of the most reliable and sensitive biomarkers of DNA DSBs. However, the γ-H2A
Externí odkaz:
https://doaj.org/article/d194011aa92142459a3da9b8bc0d5fc1
A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation
Autor:
Rujira Wanotayan, Khaisang Chousangsuntorn, Phasit Petisiwaveth, Thunchanok Anuttra, Waritsara Lertchanyaphan, Tanwiwat Jaikuna, Kulachart Jangpatarapongsa, Pimpon Uttayarat, Teerawat Tongloy, Chousak Chousangsuntorn, Siridech Boonsang
Publikováno v:
Scientific reports. 12(1)
DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX (phosphorylated form of H2AX histone variant) has become one of the most reliable and sensitive biomarkers of DNA DSBs. However, the γ-H2AX foci as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fdbd3b4ae74f065a9f0d87ab11d3bc8
https://pubmed.ncbi.nlm.nih.gov/35365702
https://pubmed.ncbi.nlm.nih.gov/35365702