Deep learning in medical imaging and radiation therapy
… this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) …
of DL in medical imaging and radiation therapy, identify common themes, discuss methods …
of DL in medical imaging and radiation therapy, identify common themes, discuss methods …
Deep learning for segmentation in radiation therapy planning: a review
… review of deep learning-based organ and structure segmentation techniques for
radiation therapy planning is presented in this article. The main aim is to explore the deep-CNN …
radiation therapy planning is presented in this article. The main aim is to explore the deep-CNN …
DeepDose: Towards a fast dose calculation engine for radiation therapy using deep learning
C Kontaxis, GH Bol, JJW Lagendijk… - Physics in Medicine & …, 2020 - iopscience.iop.org
… We present DeepDose, a deep learning framework for fast dose calculations in radiation
therapy. Given a patient anatomy and linear-accelerator IMRT multi-leaf-collimator shape or …
therapy. Given a patient anatomy and linear-accelerator IMRT multi-leaf-collimator shape or …
[HTML][HTML] Deep learning for automatic target volume segmentation in radiation therapy: a review
… , an essential step of radiation therapy treatment planning, … The deep learning-based automatic
segmentation method … major deep learning architectures of supervised learning fashion …
segmentation method … major deep learning architectures of supervised learning fashion …
A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
… In the last few years, deep learning has made a quantum leap in the … towards deep learning
to reduce our dependence on handcrafted features, and allow the deep network to learn its …
to reduce our dependence on handcrafted features, and allow the deep network to learn its …
MR‐based treatment planning in radiation therapy using a deep learning approach
… Another recent study demonstrated excellent performance utilizing deep learning … of deep
learning generated pseudo CTs in the application of treatment planning in radiation therapy on …
learning generated pseudo CTs in the application of treatment planning in radiation therapy on …
Machine learning approaches for predicting radiation therapy outcomes: a clinician's perspective
J Kang, R Schwartz, J Flickinger, S Beriwal - … Journal of Radiation …, 2015 - Elsevier
… the use of ML to predict radiation therapy outcomes from the … a variant known as “deep
learning” that uses much more … deep learning has not yet been applied to radiation therapy …
learning” that uses much more … deep learning has not yet been applied to radiation therapy …
Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study
… in an ideal scenario, Shen's deep learning-based method … In our study, we have further
validated our deep-learning based … the robustness of our deep learning based method at a …
validated our deep-learning based … the robustness of our deep learning based method at a …
Deep learning: a review for the radiation oncologist
… deep learning in radiation … Deep Learning in radiation oncology, directed at a clinically-oriented
reader. The search strategy included the search terms “radiotherapy” and “deep learning.…
reader. The search strategy included the search terms “radiotherapy” and “deep learning.…
[HTML][HTML] A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy
… an essential step in radiation therapy; however, it is notoriously time-consuming and prone
to inter-observer variation. Herein, we report a deep learning-based automatic segmentation (…
to inter-observer variation. Herein, we report a deep learning-based automatic segmentation (…
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