A new deep learning model for predicting IMRT dose distributions for lung cancer with dose masks
Purpose3D U-Net deep neural networks are widely used for predicting radiotherapy dose distributions. However, dose prediction for lung cancer IMRT is limited to conventional radiotherapy, with significant errors in predicting the intermediate and low-dose regions.MethodsWe included a mixed dataset o...
Saved in:
| Main Authors: | Xuezhen Feng, Mingqing Wang, Xinyan Lin, Can Li, Yuxi Pan, Guoping Zuo, Ruijie Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-08-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1587788/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assessment of the mean dose of the pharyngeal constrictor muscles (as one organ) as a part of DARS and its effect on dysphagia in IMRT treated head and neck cancer patients
by: May Gamal Ashour, et al.
Published: (2025-03-01) -
Application of the Monaco-serial biological function for cardiac dose constraints in DIBH-IMRT treatment planning for left-sided breast cancer
by: Haili Hu, et al.
Published: (2025-06-01) -
Treatment with radiotherapy in carotidal paraganglioma: experience of the General Hospital of Mexico
by: Yicel Bautista Hernandez, et al.
Published: (2025-01-01) -
Focal boosted IMRT treatment of prostate cancer to 84 Gy in 28 fractions: preliminary clinical outcomes, toxicity, and dosimetry
by: Jacob Michael Hands, et al.
Published: (2025-05-01) -
Potential Risk of Cognitive Impairment Due to Irradiation of Neural Structures in Locally Advanced Nasopharyngeal Cancer Treated by Curative Radiotherapy
by: Camil Ciprian Mireștean, et al.
Published: (2025-04-01)