Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Multi-agent reinforcement learning meets leaf sequencing in radiotherapy
In contemporary radiotherapy planning (RTP), a key module leaf sequencing is
predominantly addressed by optimization-based approaches. In this paper, we propose a …
predominantly addressed by optimization-based approaches. In this paper, we propose a …
FA-Net: A hierarchical feature fusion and interactive attention-based network for dose prediction in liver cancer patients
M Liao, S Di, Y Zhao, W Liang, Z Yang - Artificial Intelligence in Medicine, 2024 - Elsevier
Dose prediction is a crucial step in automated radiotherapy planning for liver cancer.
Several deep learning-based approaches for dose prediction have been proposed to …
Several deep learning-based approaches for dose prediction have been proposed to …
Deep learning–based statistical robustness evaluation of intensity-modulated proton therapy for head and neck cancer
Objective. Previous methods for robustness evaluation rely on dose calculation for a number
of uncertainty scenarios, which either fails to provide statistical meaning when the number is …
of uncertainty scenarios, which either fails to provide statistical meaning when the number is …
Lenas: Learning-based neural architecture search and ensemble for 3-d radiotherapy dose prediction
Radiation therapy treatment planning requires balancing the delivery of the target dose
while sparing normal tissues, making it a complex process. To streamline the planning …
while sparing normal tissues, making it a complex process. To streamline the planning …
Deep learning-based quick MLC sequencing for MRI-guided online adaptive radiotherapy: a feasibility study for pancreatic cancer patients
AE Ahunbay, ES Paulson, E Ahunbay… - Physics in Medicine …, 2025 - iopscience.iop.org
Objective: One bottleneck of MRI-guided Online Adaptive Radiotherapy (MRoART) is the
time-consuming daily online replanning process. The current leaf sequencing method takes …
time-consuming daily online replanning process. The current leaf sequencing method takes …
[PDF][PDF] Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for …
AJ Kamath, ZMA der Maur, R Poel… - Medical Imaging …, 2024 - raw.githubusercontent.com
Current evaluation methods for quality control of manual/automated tumor and organs-atrisk
segmentation for radiotherapy are driven mostly by geometric correctness. It is however …
segmentation for radiotherapy are driven mostly by geometric correctness. It is however …