Generative adversarial networks in medical image segmentation: A review
S Xun, D Li, H Zhu, M Chen, J Wang, J Li… - Computers in biology …, 2022 - Elsevier
Abstract Purpose Since Generative Adversarial Network (GAN) was introduced into the field
of deep learning in 2014, it has received extensive attention from academia and industry …
of deep learning in 2014, it has received extensive attention from academia and industry …
[HTML][HTML] A review of the metrics used to assess auto-contouring systems in radiotherapy
Auto-contouring could revolutionise future planning of radiotherapy treatment. The lack of
consensus on how to assess and validate auto-contouring systems currently limits clinical …
consensus on how to assess and validate auto-contouring systems currently limits clinical …
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation
Adaptive radiotherapy (ART) is an advanced technology in modern cancer treatment that
incorporates progressive changes in patient anatomy into active plan/dose adaption during …
incorporates progressive changes in patient anatomy into active plan/dose adaption during …
[HTML][HTML] The use of MR-guided radiation therapy for head and neck cancer and recommended reporting guidance
Although magnetic resonance imaging (MRI) has become standard diagnostic workup for
head and neck malignancies and is currently recommended by most radiological societies …
head and neck malignancies and is currently recommended by most radiological societies …
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network
Purpose Auto‐segmentation algorithms offer a potential solution to eliminate the labor‐
intensive, time‐consuming, and observer‐dependent manual delineation of organs‐at‐risk …
intensive, time‐consuming, and observer‐dependent manual delineation of organs‐at‐risk …
[HTML][HTML] Artificial intelligence in image-guided radiotherapy: a review of treatment target localization
Modern conformal beam delivery techniques require image-guidance to ensure the
prescribed dose to be delivered as planned. Recent advances in artificial intelligence (AI) …
prescribed dose to be delivered as planned. Recent advances in artificial intelligence (AI) …
Multi-organ auto-delineation in head-and-neck MRI for radiation therapy using regional convolutional neural network
Magnetic resonance imaging (MRI) allows accurate and reliable organ delineation for many
disease sites in radiation therapy because MRI is able to offer superb soft-tissue contrast …
disease sites in radiation therapy because MRI is able to offer superb soft-tissue contrast …
Synthetic CT‐aided multiorgan segmentation for CBCT‐guided adaptive pancreatic radiotherapy
Purpose The delineation of organs at risk (OARs) is fundamental to cone‐beam CT (CBCT)‐
based adaptive radiotherapy treatment planning, but is time consuming, labor intensive, and …
based adaptive radiotherapy treatment planning, but is time consuming, labor intensive, and …
[HTML][HTML] Synthetic CT generation from cone-beam CT using deep-learning for breast adaptive radiotherapy
X Wang, W Jian, B Zhang, L Zhu, Q He, H **… - Journal of Radiation …, 2022 - Elsevier
We investigated the feasibility of the generation of synthetic CT (sCT) from CBCT images
with deep learning and the dose evaluation for CBCT-guided breast cancer adaptive …
with deep learning and the dose evaluation for CBCT-guided breast cancer adaptive …
Geometric and dosimetric evaluation of deep learning-based automatic delineation on CBCT-synthesized CT and planning CT for breast cancer adaptive radiotherapy …
Purpose We developed a deep learning model to achieve automatic multitarget delineation
on planning CT (pCT) and synthetic CT (sCT) images generated from cone-beam CT …
on planning CT (pCT) and synthetic CT (sCT) images generated from cone-beam CT …