Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis
P Liu, Y Sun, X Zhao, Y Yan - BioMedical Engineering OnLine, 2023 - Springer
Purpose The contouring of organs at risk (OARs) in head and neck cancer radiation
treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies …
treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies …
Computational approaches for the reconstruction of optic nerve fibers along the visual pathway from medical images: a comprehensive review
R Jin, Y Cai, S Zhang, T Yang, H Feng… - Frontiers in …, 2023 - frontiersin.org
Optic never fibers in the visual pathway play significant roles in vision formation. Damages of
optic nerve fibers are biomarkers for the diagnosis of various ophthalmological and …
optic nerve fibers are biomarkers for the diagnosis of various ophthalmological and …
Comparison of atlas-based and deep learning methods for organs at risk delineation on head-and-neck CT images using an automated treatment planning system
M Costea, A Zlate, M Durand, T Baudier… - Radiotherapy and …, 2022 - Elsevier
Background and purpose To investigate the performance of head-and-neck (HN) organs-at-
risk (OAR) automatic segmentation (AS) using four atlas-based (ABAS) and two deep …
risk (OAR) automatic segmentation (AS) using four atlas-based (ABAS) and two deep …
Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning
JJ Lucido, TA DeWees, TR Leavitt, A Anand… - Frontiers in …, 2023 - frontiersin.org
Introduction Organ-at-risk segmentation for head and neck cancer radiation therapy is a
complex and time-consuming process (requiring up to 42 individual structure, and may …
complex and time-consuming process (requiring up to 42 individual structure, and may …
An uncertainty‐aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning
X Li, H Bagher‐Ebadian, S Gardner, J Kim… - Medical …, 2023 - Wiley Online Library
Purpose Task automation is essential for efficient and consistent image segmentation in
radiation oncology. We report on a deep learning architecture, comprising a U‐Net and a …
radiation oncology. We report on a deep learning architecture, comprising a U‐Net and a …
[HTML][HTML] Anatomical evaluation of deep-learning synthetic computed tomography images generated from male pelvis cone-beam computed tomography
YJM de Hond, CEM Kerckhaert… - Physics and Imaging in …, 2023 - Elsevier
Background and purpose To improve cone-beam computed tomography (CBCT), deep-
learning (DL)-models are being explored to generate synthetic CTs (sCT). The sCT …
learning (DL)-models are being explored to generate synthetic CTs (sCT). The sCT …
[HTML][HTML] Automatic contour refinement for deep learning auto-segmentation of complex organs in MRI-guided adaptive radiation therapy
Purpose Fast and accurate auto-segmentation on daily images is essential for magnetic
resonance imaging (MRI)–guided adaptive radiation therapy (ART). However, the state-of …
resonance imaging (MRI)–guided adaptive radiation therapy (ART). However, the state-of …
Evaluation of different algorithms for automatic segmentation of head-and-neck lymph nodes on CT images
M Costea, A Zlate, AA Serre, S Racadot… - Radiotherapy and …, 2023 - Elsevier
Purpose To investigate the performance of 4 atlas-based (multi-ABAS) and 2 deep learning
(DL) solutions for head-and-neck (HN) elective nodes (CTVn) automatic segmentation (AS) …
(DL) solutions for head-and-neck (HN) elective nodes (CTVn) automatic segmentation (AS) …
[HTML][HTML] Optimising a 3D convolutional neural network for head and neck computed tomography segmentation with limited training data
Background and purpose Convolutional neural networks (CNNs) are increasingly used to
automate segmentation for radiotherapy planning, where accurate segmentation of organs …
automate segmentation for radiotherapy planning, where accurate segmentation of organs …
Artificial Intelligence–Based Radiotherapy Contouring and Planning to Improve Global Access to Cancer Care
LE Court, A Aggarwal, A Jhingran, K Naidoo… - JCO Global …, 2024 - ascopubs.org
PURPOSE Increased automation has been identified as one approach to improving global
cancer care. The Radiation Planning Assistant (RPA) is a web-based tool offering …
cancer care. The Radiation Planning Assistant (RPA) is a web-based tool offering …