Deep learning in medical imaging and radiation therapy

B Sahiner, A Pezeshk, LM Hadjiiski, X Wang… - Medical …, 2019 - Wiley Online Library
… 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 …

Deep learning for segmentation in radiation therapy planning: a review

G Samarasinghe, M Jameson, S Vinod… - … and Radiation …, 2021 - Wiley Online Library
… 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 …

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 …

[HTML][HTML] Deep learning for automatic target volume segmentation in radiation therapy: a review

H Lin, H Xiao, L Dong, KBK Teo, W Zou… - Quantitative Imaging in …, 2021 - ncbi.nlm.nih.gov
… , an essential step of radiation therapy treatment planning, … The deep learning-based automatic
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

D Nguyen, T Long, X Jia, W Lu, X Gu, Z Iqbal… - Scientific reports, 2019 - nature.com
… 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 …

MR‐based treatment planning in radiation therapy using a deep learning approach

F Liu, P Yadav, AM Baschnagel… - Journal of applied …, 2019 - Wiley Online Library
… 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 …

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

Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study

Y Lei, Z Tian, T Wang, K Higgins… - Physics in Medicine …, 2020 - iopscience.iop.org
… 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 …

Deep learning: a review for the radiation oncologist

L Boldrini, JE Bibault, C Masciocchi, Y Shen… - Frontiers in …, 2019 - frontiersin.org
deep learning in radiationDeep Learning in radiation oncology, directed at a clinically-oriented
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

X Chen, S Sun, N Bai, K Han, Q Liu, S Yao… - Radiotherapy and …, 2021 - Elsevier
… 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 (…