[HTML][HTML] Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance
Artificial Intelligence (AI) is currently being introduced into different domains, including
medicine. Specifically in radiation oncology, machine learning models allow automation and …
medicine. Specifically in radiation oncology, machine learning models allow automation and …
Metrics to evaluate the performance of auto-segmentation for radiation treatment planning: A critical review
Advances in artificial intelligence-based methods have led to the development and
publication of numerous systems for auto-segmentation in radiotherapy. These systems …
publication of numerous systems for auto-segmentation in radiotherapy. These systems …
Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy
In radiotherapy for cancer patients, an indispensable process is to delineate organs-at-risk
(OARs) and tumors. However, it is the most time-consuming step as manual delineation is …
(OARs) and tumors. However, it is the most time-consuming step as manual delineation is …
[HTML][HTML] A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy
Background and purpose Delineating organs at risk (OARs) on computed tomography (CT)
images is an essential step in radiation therapy; however, it is notoriously time-consuming …
images is an essential step in radiation therapy; however, it is notoriously time-consuming …
Machine learning for auto-segmentation in radiotherapy planning
Manual segmentation of target structures and organs at risk is a crucial step in the
radiotherapy workflow. It has the disadvantages that it can require several hours of clinician …
radiotherapy workflow. It has the disadvantages that it can require several hours of clinician …
Adaptive proton therapy
Radiation therapy treatments are typically planned based on a single image set, assuming
that the patient's anatomy and its position relative to the delivery system remains constant …
that the patient's anatomy and its position relative to the delivery system remains constant …
[HTML][HTML] Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy
F Vaassen, C Hazelaar, A Vaniqui, M Gooding… - Physics and Imaging in …, 2020 - Elsevier
Background and purpose In radiotherapy, automatic organ-at-risk segmentation algorithms
allow faster delineation times, but clinically relevant contour evaluation remains challenging …
allow faster delineation times, but clinically relevant contour evaluation remains challenging …
Review of deep learning based automatic segmentation for lung cancer radiotherapy
X Liu, KW Li, R Yang, LS Geng - Frontiers in oncology, 2021 - frontiersin.org
Lung cancer is the leading cause of cancer-related mortality for males and females.
Radiation therapy (RT) is one of the primary treatment modalities for lung cancer. While …
Radiation therapy (RT) is one of the primary treatment modalities for lung cancer. While …
Systematic review of generative adversarial networks (GANs) for medical image classification and segmentation
In recent years, generative adversarial networks (GANs) have gained tremendous popularity
for various imaging related tasks such as artificial image generation to support AI training …
for various imaging related tasks such as artificial image generation to support AI training …
Auto‐segmentation of organs at risk for head and neck radiotherapy planning: from atlas‐based to deep learning methods
T Vrtovec, D Močnik, P Strojan, F Pernuš… - Medical …, 2020 - Wiley Online Library
Radiotherapy (RT) is one of the basic treatment modalities for cancer of the head and neck
(H&N), which requires a precise spatial description of the target volumes and organs at risk …
(H&N), which requires a precise spatial description of the target volumes and organs at risk …