161 related articles for article (PubMed ID: 37803462)
1. Towards deep-learning (DL) based fully automated target delineation for rectal cancer neoadjuvant radiotherapy using a divide-and-conquer strategy: a study with multicenter blind and randomized validation.
Geng J; Zhu X; Liu Z; Chen Q; Bai L; Wang S; Li Y; Wu H; Yue H; Du Y
Radiat Oncol; 2023 Oct; 18(1):164. PubMed ID: 37803462
[TBL] [Abstract][Full Text] [Related]
2. A blind randomized validated convolutional neural network for auto-segmentation of clinical target volume in rectal cancer patients receiving neoadjuvant radiotherapy.
Wu Y; Kang K; Han C; Wang S; Chen Q; Chen Y; Zhang F; Liu Z
Cancer Med; 2022 Jan; 11(1):166-175. PubMed ID: 34811957
[TBL] [Abstract][Full Text] [Related]
3. Clinical target volume segmentation based on gross tumor volume using deep learning for head and neck cancer treatment.
Kihara S; Koike Y; Takegawa H; Anetai Y; Nakamura S; Tanigawa N; Koizumi M
Med Dosim; 2023 Spring; 48(1):20-24. PubMed ID: 36273950
[TBL] [Abstract][Full Text] [Related]
4. DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy.
Jin D; Guo D; Ho TY; Harrison AP; Xiao J; Tseng CK; Lu L
Med Image Anal; 2021 Feb; 68():101909. PubMed ID: 33341494
[TBL] [Abstract][Full Text] [Related]
5. Automatic clinical target volume delineation for cervical cancer in CT images using deep learning.
Shi J; Ding X; Liu X; Li Y; Liang W; Wu J
Med Phys; 2021 Jul; 48(7):3968-3981. PubMed ID: 33905545
[TBL] [Abstract][Full Text] [Related]
6. Automatic segmentation of magnetic resonance images for high-dose-rate cervical cancer brachytherapy using deep learning.
Yoganathan SA; Paul SN; Paloor S; Torfeh T; Chandramouli SH; Hammoud R; Al-Hammadi N
Med Phys; 2022 Mar; 49(3):1571-1584. PubMed ID: 35094405
[TBL] [Abstract][Full Text] [Related]
7. Development and validation of a deep learning algorithm for auto-delineation of clinical target volume and organs at risk in cervical cancer radiotherapy.
Liu Z; Liu X; Guan H; Zhen H; Sun Y; Chen Q; Chen Y; Wang S; Qiu J
Radiother Oncol; 2020 Dec; 153():172-179. PubMed ID: 33039424
[TBL] [Abstract][Full Text] [Related]
8. Clinical evaluation of deep learning-based automatic clinical target volume segmentation: a single-institution multi-site tumor experience.
Hou Z; Gao S; Liu J; Yin Y; Zhang L; Han Y; Yan J; Li S
Radiol Med; 2023 Oct; 128(10):1250-1261. PubMed ID: 37597126
[TBL] [Abstract][Full Text] [Related]
9. Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation.
Ren J; Eriksen JG; Nijkamp J; Korreman SS
Acta Oncol; 2021 Nov; 60(11):1399-1406. PubMed ID: 34264157
[TBL] [Abstract][Full Text] [Related]
10. Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks.
Men K; Dai J; Li Y
Med Phys; 2017 Dec; 44(12):6377-6389. PubMed ID: 28963779
[TBL] [Abstract][Full Text] [Related]
11. Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer.
Wang J; Chen Y; Xie H; Luo L; Tang Q
Sci Rep; 2022 Aug; 12(1):13650. PubMed ID: 35953516
[TBL] [Abstract][Full Text] [Related]
12. A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
Balagopal A; Nguyen D; Morgan H; Weng Y; Dohopolski M; Lin MH; Barkousaraie AS; Gonzalez Y; Garant A; Desai N; Hannan R; Jiang S
Med Image Anal; 2021 Aug; 72():102101. PubMed ID: 34111573
[TBL] [Abstract][Full Text] [Related]
13. A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning.
Rundo L; Stefano A; Militello C; Russo G; Sabini MG; D'Arrigo C; Marletta F; Ippolito M; Mauri G; Vitabile S; Gilardi MC
Comput Methods Programs Biomed; 2017 Jun; 144():77-96. PubMed ID: 28495008
[TBL] [Abstract][Full Text] [Related]
14. Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural network.
Zabihollahy F; Viswanathan AN; Schmidt EJ; Lee J
J Appl Clin Med Phys; 2022 Sep; 23(9):e13725. PubMed ID: 35894782
[TBL] [Abstract][Full Text] [Related]
15. Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation.
Dei D; Lambri N; Crespi L; Brioso RC; Loiacono D; Clerici E; Bellu L; De Philippis C; Navarria P; Bramanti S; Carlo-Stella C; Rusconi R; Reggiori G; Tomatis S; Scorsetti M; Mancosu P
Radiol Med; 2024 Mar; 129(3):515-523. PubMed ID: 38308062
[TBL] [Abstract][Full Text] [Related]
16. An Adversarial Deep-Learning-Based Model for Cervical Cancer CTV Segmentation With Multicenter Blinded Randomized Controlled Validation.
Liu Z; Chen W; Guan H; Zhen H; Shen J; Liu X; Liu A; Li R; Geng J; You J; Wang W; Li Z; Zhang Y; Chen Y; Du J; Chen Q; Chen Y; Wang S; Zhang F; Qiu J
Front Oncol; 2021; 11():702270. PubMed ID: 34490103
[TBL] [Abstract][Full Text] [Related]
17. Technical Note: A deep learning-based autosegmentation of rectal tumors in MR images.
Wang J; Lu J; Qin G; Shen L; Sun Y; Ying H; Zhang Z; Hu W
Med Phys; 2018 Jun; 45(6):2560-2564. PubMed ID: 29663417
[TBL] [Abstract][Full Text] [Related]
18. Validation of a Magnetic Resonance Imaging-based Auto-contouring Software Tool for Gross Tumour Delineation in Head and Neck Cancer Radiotherapy Planning.
Doshi T; Wilson C; Paterson C; Lamb C; James A; MacKenzie K; Soraghan J; Petropoulakis L; Di Caterina G; Grose D
Clin Oncol (R Coll Radiol); 2017 Jan; 29(1):60-67. PubMed ID: 27780693
[TBL] [Abstract][Full Text] [Related]
19. FDG-PET/CT imaging for staging and target volume delineation in preoperative conformal radiotherapy of rectal cancer.
Bassi MC; Turri L; Sacchetti G; Loi G; Cannillo B; La Mattina P; Brambilla M; Inglese E; Krengli M
Int J Radiat Oncol Biol Phys; 2008 Apr; 70(5):1423-6. PubMed ID: 17931795
[TBL] [Abstract][Full Text] [Related]
20. A deep learning approach for automatic delineation of clinical target volume in stereotactic partial breast irradiation (S-PBI).
Kazemimoghadam M; Yang Z; Chen M; Rahimi A; Kim N; Alluri P; Nwachukwu C; Lu W; Gu X
Phys Med Biol; 2023 May; 68(10):. PubMed ID: 37084739
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]