A feasibility study on deep learning‐based individualized 3D dose distribution prediction-Reference-Cited by-同舟云学术

A feasibility study on deep learning‐based individualized 3D dose distribution prediction

Published:2021-07-11 Issue:8 Volume:48 Page:4438-4447
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Ma Jianhui¹²,Nguyen Dan²,Bai Ti²,Folkerts Michael²,Jia Xun²,Lu Weiguo²,Zhou Linghong¹,Jiang Steve²

Affiliation:

1. School of Biomedical Engineering Southern Medical University Guangzhou China

2. Medical Artificial Intelligence and Automation (MAIA) Laboratory Department of Radiation Oncology University of Texas Southwestern Medical Center Dallas TX USA

Funder

Foundation for the National Institutes of Health

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15025

Reference23 articles.

1. Intensity-Modulated Radiation Therapy Dose Prescription, Recording, and Delivery: Patterns of Variability Among Institutions and Treatment Planning Systems

2. Variation in external beam treatment plan quality: An inter-institutional study of planners and planning systems

3. A planning quality evaluation tool for prostate adaptive IMRT based on machine learning

4. Predicting dose-volume histograms for organs-at-risk in IMRT planning

5. Using overlap volume histogram and IMRT plan data to guide and automate VMAT planning: a head‐and‐neck case study;Wu B;Med Phys,2013

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring the impact of field shape on predicted dose distribution in breast cancer patients using deep learning in radiation therapy;Radiation Physics and Chemistry;2025-01

2. Feasibility Study on Constructing Dosimetric Correlated Geometric Parameters for Automatic Segmentation Evaluation;Current Medical Imaging Reviews;2024-07-29

3. Application and progress of artificial intelligence in radiation therapy dose prediction;Clinical and Translational Radiation Oncology;2024-07

4. PRT-Net: a progressive refinement transformer for dose prediction to guide ovarian transposition;Frontiers in Oncology;2024-05-16

5. A review of dose prediction methods for tumor radiation therapy;Meta-Radiology;2024-03