A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy
Titel:
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy
Auteur:
Balagopal, Anjali Nguyen, Dan Morgan, Howard Weng, Yaochung Dohopolski, Michael Lin, Mu-Han Barkousaraie, Azar Sadeghnejad Gonzalez, Yesenia Garant, Aurelie Desai, Neil Hannan, Raquibul Jiang, Steve