Deep learning in medical image registration: a review
This paper presents a review of deep learning (DL)-based medical image registration
methods. We summarized the latest developments and applications of DL-based registration …
methods. We summarized the latest developments and applications of DL-based registration …
A review of deep learning based methods for medical image multi-organ segmentation
Deep learning has revolutionized image processing and achieved the-state-of-art
performance in many medical image segmentation tasks. Many deep learning-based …
performance in many medical image segmentation tasks. Many deep learning-based …
Adaptive radiation therapy (ART) strategies and technical considerations: a state of the ART review from NRG oncology
CK Glide-Hurst, P Lee, AD Yock, JR Olsen… - International Journal of …, 2021 - Elsevier
The integration of adaptive radiation therapy (ART), or modifying the treatment plan during
the treatment course, is becoming more widely available in clinical practice. ART offers …
the treatment course, is becoming more widely available in clinical practice. ART offers …
Advances in auto-segmentation
Manual image segmentation is a time-consuming task routinely performed in radiotherapy to
identify each patient's targets and anatomical structures. The efficacy and safety of the …
identify each patient's targets and anatomical structures. The efficacy and safety of the …
Medical physics challenges in clinical MR-guided radiotherapy
The integration of magnetic resonance imaging (MRI) for guidance in external beam
radiotherapy has faced significant research and development efforts in recent years. The …
radiotherapy has faced significant research and development efforts in recent years. The …
MR-guided proton therapy: a review and a preview
A Hoffmann, B Oborn, M Moteabbed, S Yan… - Radiation …, 2020 - Springer
Background The targeting accuracy of proton therapy (PT) for moving soft-tissue tumours is
expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. The …
expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. The …
Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives
Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …
Deep learning for segmentation in radiation therapy planning: a review
Segmentation of organs and structures, as either targets or organs‐at‐risk, has a significant
influence on the success of radiation therapy. Manual segmentation is a tedious and time …
influence on the success of radiation therapy. Manual segmentation is a tedious and time …
[HTML][HTML] Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy
S Elguindi, MJ Zelefsky, J Jiang… - Physics and imaging in …, 2019 - Elsevier
Background and purpose: Magnetic resonance (MR) only radiation therapy for prostate
treatment provides superior contrast for defining targets and organs-at-risk (OARs). This …
treatment provides superior contrast for defining targets and organs-at-risk (OARs). This …
[HTML][HTML] Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network
Z Liu, X Liu, B Xiao, S Wang, Z Miao, Y Sun, F Zhang - Physica Medica, 2020 - Elsevier
Purpose We introduced and evaluated an end-to-end organs-at-risk (OARs) segmentation
model that can provide accurate and consistent OARs segmentation results in much less …
model that can provide accurate and consistent OARs segmentation results in much less …