A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy

no code implementations • 28 Apr 2020 • Anjali Balagopal, Dan Nguyen, Howard Morgan, Yaochung Weng, Michael Dohopolski, Mu-Han Lin, Azar Sadeghnejad Barkousaraie, Yesenia Gonzalez, Aurelie Garant, Neil Desai, Raquibul Hannan, Steve Jiang

Automating post-operative prostate CTV segmentation with traditional image segmentation methods has been a major challenge.

Image Segmentation Segmentation +1

Intelligent Inverse Treatment Planning via Deep Reinforcement Learning, a Proof-of-Principle Study in High Dose-rate Brachytherapy for Cervical Cancer

no code implementations • 25 Nov 2018 • Chenyang Shen, Yesenia Gonzalez, Peter Klages, Nan Qin, Hyunuk Jung, Liyuan Chen, Dan Nguyen, Steve B. Jiang, Xun Jia

While a treatment planning system can solve the optimization problem with given weights, adjusting the weights for high plan quality is performed by human.

Medical Physics

Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning

no code implementations • 1 Nov 2017 • Chenyang Shen, Yesenia Gonzalez, Liyuan Chen, Steve B. Jiang, Xun Jia

We set up a parameter tuning policy network (PTPN), which maps an CT image patch to an output that specifies the direction and amplitude by which the parameter at the patch center is adjusted.

CT Reconstruction Deep Reinforcement Learning +2