Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function

Carlos Cárdenas; Rachel McCarroll; Laurence E. Court; Baher Elgohari; Hesham Elhalawani; Clifton D. Fuller; Mona Kamal; M.A.M. Meheissen; Abdallah Mohamed; Arvind Rao; Bowman Williams; Andrew Wong; Jinzhong Yang; Michalis Aristophanous

doi:10.1016/j.ijrobp.2018.01.114

Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function

Carlos Cárdenas(The University of Texas MD Anderson Cancer Center), Rachel McCarroll(The University of Texas MD Anderson Cancer Center), Laurence E. Court(The University of Texas MD Anderson Cancer Center), Baher Elgohari(The University of Texas MD Anderson Cancer Center), Hesham Elhalawani(The University of Texas MD Anderson Cancer Center), Clifton D. Fuller(The University of Texas MD Anderson Cancer Center), Mona Kamal(Ain Shams University), M.A.M. Meheissen(The University of Texas MD Anderson Cancer Center), Abdallah Mohamed(The University of Texas MD Anderson Cancer Center), Arvind Rao(The University of Texas MD Anderson Cancer Center), Bowman Williams(The University of Texas MD Anderson Cancer Center), Andrew Wong(The University of Texas MD Anderson Cancer Center), Jinzhong Yang(The University of Texas MD Anderson Cancer Center), Michalis Aristophanous(University of Chicago)

International Journal of Radiation Oncology*Biology*Physics

February 6, 2018

10.1016/j.ijrobp.2018.01.114

Cited by 153Open Access

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