Detalhe da pesquisa
1.
Dose and organ displacement comparisons with breast conservative radiotherapy using abdominal and thoracic deep-inspiration breath-holds: A comparative dosimetric study.
J Appl Clin Med Phys
; 24(4): e13888, 2023 Apr.
Artigo
Inglês
| MEDLINE | ID: mdl-36617188
2.
Examination of the dose distribution of volumetric modulated arc radiotherapy using a high-definition multi-leaf collimator for breast cancer patients with irradiated regional lymph nodes.
Rep Pract Oncol Radiother
; 27(4): 634-643, 2022.
Artigo
Inglês
| MEDLINE | ID: mdl-36196412
3.
Effect on Heart and Lung Doses Reduction of Abdominal and Thoracic Deep Inspiratory Breath-hold Assuming Involved-field Radiation Therapy in Patients with Simulated Esophageal Cancer.
Tokai J Exp Clin Med
; 48(1): 32-37, 2023 Apr 20.
Artigo
Inglês
| MEDLINE | ID: mdl-36999391
4.
Comparing the toxicity and disease control rate of radiotherapy for prostate cancer between salvage settings after high-intensity focused ultrasound therapy and initial settings.
J Radiat Res
; 63(4): 675-683, 2022 Jul 19.
Artigo
Inglês
| MEDLINE | ID: mdl-35780303
5.
Effects of sample size and data augmentation on U-Net-based automatic segmentation of various organs.
Radiol Phys Technol
; 14(3): 318-327, 2021 Sep.
Artigo
Inglês
| MEDLINE | ID: mdl-34254251
6.
Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images.
Phys Med
; 78: 93-100, 2020 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-32950833
7.
Efficacy evaluation of 2D, 3D U-Net semantic segmentation and atlas-based segmentation of normal lungs excluding the trachea and main bronchi.
J Radiat Res
; 61(2): 257-264, 2020 Mar 23.
Artigo
Inglês
| MEDLINE | ID: mdl-32043528
8.
[Effects of sample size and data augmentation on U-Net-based automatic segmentation of various organs].
Igaku Butsuri
; 43(1): 19, 2023.
Artigo
Japonês
| MEDLINE | ID: mdl-37045760