[HTML][HTML] Feasibility of artificial intelligence-driven interfractional monitoring of organ changes by mega-voltage computed tomography in intensity-modulated …
Y Lee, HJ Choi, H Kim, S Kim, MS Kim… - Radiation Oncology …, 2023 - ncbi.nlm.nih.gov
Purpose High-dose radiotherapy (RT) for localized prostate cancer requires careful
consideration of target position changes and adjacent organs-at-risk (OARs), such as the …
consideration of target position changes and adjacent organs-at-risk (OARs), such as the …
Patient-specific finetuning of deep learning models for adaptive radiotherapy in prostate CT
MS Elmahdy, T Ahuja… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
Contouring of the target volume and Organs-At-Risk (OARs) is a crucial step in radiotherapy
treatment planning. In an adaptive radiotherapy setting, updated contours need to be …
treatment planning. In an adaptive radiotherapy setting, updated contours need to be …
[HTML][HTML] Deep-learning-based segmentation using individual patient data on prostate cancer radiation therapy
Purpose Organ-at-risk segmentation is essential in adaptive radiotherapy (ART). Learning-
based automatic segmentation can reduce committed labor and accelerate the ART …
based automatic segmentation can reduce committed labor and accelerate the ART …
Joint registration and segmentation via multi-task learning for adaptive radiotherapy of prostate cancer
Medical image registration and segmentation are two of the most frequent tasks in medical
image analysis. As these tasks are complementary and correlated, it would be beneficial to …
image analysis. As these tasks are complementary and correlated, it would be beneficial to …
Patient‐specific transfer learning for auto‐segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi‐centric evaluation
Background Online adaptive radiation therapy (RT) using hybrid magnetic resonance linear
accelerators (MR‐Linacs) can administer a tailored radiation dose at each treatment fraction …
accelerators (MR‐Linacs) can administer a tailored radiation dose at each treatment fraction …
[HTML][HTML] Cross-domain data augmentation for deep-learning-based male pelvic organ segmentation in cone beam CT
For prostate cancer patients, large organ deformations occurring between radiotherapy
treatment sessions create uncertainty about the doses delivered to the tumor and …
treatment sessions create uncertainty about the doses delivered to the tumor and …
[HTML][HTML] Automated contouring of CTV and OARs in planning CT scans using novel hybrid convolution-transformer networks for prostate cancer radiotherapy
N Arjmandi, S Nasseri, M Momennezhad… - Discover Oncology, 2024 - Springer
Purpose objective (s) Manual contouring of the prostate region in planning computed
tomography (CT) images is a challenging task due to factors such as low contrast in soft …
tomography (CT) images is a challenging task due to factors such as low contrast in soft …
Deep learning based clinical target volumes contouring for prostate cancer: Easy and efficient application
F Wen, Z Chen, X Wang, M Dou, J Yang… - Journal of Applied …, 2024 - Wiley Online Library
Background Radiotherapy has been crucial in prostate cancer treatment. However, manual
segmentation is labor intensive and highly variable among radiation oncologists. In this …
segmentation is labor intensive and highly variable among radiation oncologists. In this …
Cascaded neural network segmentation pipeline for automated delineation of prostate and organs at risk in male pelvic CT
Delineation of the prostate and nearby organs at risk (OARs) is a fundamental step in
prostate cancer radiation therapy planning. Such contouring is often done manually, which …
prostate cancer radiation therapy planning. Such contouring is often done manually, which …
[HTML][HTML] Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy
MHF Savenije, M Maspero, GG Sikkes… - Radiation …, 2020 - Springer
Background Structure delineation is a necessary, yet time-consuming manual procedure in
radiotherapy. Recently, convolutional neural networks have been proposed to speed-up and …
radiotherapy. Recently, convolutional neural networks have been proposed to speed-up and …
相关搜索
- auto segmentation prostate cancer
- organ changes prostate cancer
- adaptive radiotherapy prostate cancer
- convolutional networks prostate radiotherapy
- dosimetric impact prostate cancer
- prostate and organs automated delineation
- clinical implementation prostate radiotherapy
- joint registration prostate cancer
- 0.35 t mrgrt prostate cancer
- prior knowledge prostate cancer
- transfer learning prostate cancer
- magnetic resonance prostate cancer
- auto segmentation prostate radiotherapy