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A feasibility study for predicting optimal radiation therapy dose
  distributions of prostate cancer patients from patient anatomy using deep
  learning

A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning

26 September 2017
D. Nguyen
T. Long
X. Jia
W. Lu
X. Gu
Zohaib Iqbal
Steve B. Jiang
ArXivPDFHTML

Papers citing "A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning"

2 / 2 papers shown
Title
Targeted transfer learning to improve performance in small medical
  physics datasets
Targeted transfer learning to improve performance in small medical physics datasets
M. Romero
Y. Interian
T. Solberg
Gilmer Valdes
OOD
25
47
0
14 Dec 2019
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer
  Patients with a Hierarchically Densely Connected U-net Deep Learning
  Architecture
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture
D. Nguyen
X. Jia
David Sher
Mu-Han Lin
Zohaib Iqbal
Hui Liu
Steve B. Jiang
AI4CE
33
270
0
25 May 2018
1