285 related articles for article (PubMed ID: 33341494)
1. 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]
2. A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation.
Yue Y; Li N; Zhang G; Xing W; Zhu Z; Liu X; Song S; Ta D
Comput Methods Programs Biomed; 2024 Jun; 251():108216. PubMed ID: 38761412
[TBL] [Abstract][Full Text] [Related]
3. Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network.
Guo Z; Guo N; Gong K; Zhong S; Li Q
Phys Med Biol; 2019 Oct; 64(20):205015. PubMed ID: 31514173
[TBL] [Abstract][Full Text] [Related]
4. Impact of 18-fluorodeoxyglucose positron emission tomography on computed tomography defined target volumes in radiation treatment planning of esophageal cancer: reduction in geographic misses with equal inter-observer variability: PET/CT improves esophageal target definition.
Schreurs LM; Busz DM; Paardekooper GM; Beukema JC; Jager PL; Van der Jagt EJ; van Dam GM; Groen H; Plukker JT; Langendijk JA
Dis Esophagus; 2010 Aug; 23(6):493-501. PubMed ID: 20113320
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. [F18] FDG-PET/CT for manual or semiautomated GTV delineation of the primary tumor for radiation therapy planning in patients with esophageal cancer: is it useful?
Walter F; Jell C; Zollner B; Andrae C; Gerum S; Ilhan H; Belka C; Niyazi M; Roeder F
Strahlenther Onkol; 2021 Sep; 197(9):780-790. PubMed ID: 33104815
[TBL] [Abstract][Full Text] [Related]
7. Automatic segmentation of esophageal gross tumor volume in
Yue Y; Li N; Zhang G; Zhu Z; Liu X; Song S; Ta D
Comput Methods Programs Biomed; 2023 Feb; 229():107266. PubMed ID: 36470035
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. Interobserver variability in target volume delineation in definitive radiotherapy for thoracic esophageal cancer: a multi-center study from China.
Chang X; Deng W; Wang X; Zhou Z; Yang J; Guo W; Liu M; Qi X; Li L; Zhang K; Zhang M; Shi Y; Liu K; Zhao Y; Wang H; Yu Z; Zhang J; Wang L; Qiao X; Han C; Zhu S; Zhang R; Chen J; Hu C; Zhang F; Hou X; Pang Q; Zhang W; Li G; Lin H; Sun X; Ge X; Li C; Ge H; Li D; Wang Y; Lu N; Gao X; Qin S; Tian Y; Xiao Z
Radiat Oncol; 2021 Jun; 16(1):102. PubMed ID: 34107984
[TBL] [Abstract][Full Text] [Related]
12. Variability of gross tumour volume delineation: MRI and CT based tumour and lymph node delineation for lung radiotherapy.
Kumar S; Holloway L; Boxer M; Yap ML; Chlap P; Moses D; Vinod S
Radiother Oncol; 2022 Feb; 167():292-299. PubMed ID: 34896156
[TBL] [Abstract][Full Text] [Related]
13. FDG-PET/CT imaging for staging and target volume delineation in conformal radiotherapy of anal carcinoma.
Krengli M; Milia ME; Turri L; Mones E; Bassi MC; Cannillo B; Deantonio L; Sacchetti G; Brambilla M; Inglese E
Radiat Oncol; 2010 Feb; 5():10. PubMed ID: 20137093
[TBL] [Abstract][Full Text] [Related]
14. The role of
Najem E; Marin T; Zhuo Y; Lahoud RM; Tian F; Beddok A; Rozenblum L; Xing F; Moteabbed M; Lim R; Liu X; Woo J; Lostetter SJ; Lamane A; Chen YE; Ma C; El Fakhri G
Radiother Oncol; 2024 May; 194():110186. PubMed ID: 38412906
[TBL] [Abstract][Full Text] [Related]
15. Impact of CT and 18F-deoxyglucose positron emission tomography image fusion for conformal radiotherapy in esophageal carcinoma.
Moureau-Zabotto L; Touboul E; Lerouge D; Deniaud-Alexandre E; Grahek D; Foulquier JN; Petegnief Y; Grès B; El Balaa H; Kerrou K; Montravers F; Keraudy K; Tiret E; Gendre JP; Grange JD; Houry S; Talbot JN
Int J Radiat Oncol Biol Phys; 2005 Oct; 63(2):340-5. PubMed ID: 16168829
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Radical chemoradiotherapy for adenocarcinoma of the distal oesophagus and oesophagogastric junction: what planning margins should we use?
Whitfield GA; Jackson A; Moore C; Price P
Br J Radiol; 2008 Dec; 81(972):921-34. PubMed ID: 18794193
[TBL] [Abstract][Full Text] [Related]
18. PET/MRI-guided GTV delineation during radiotherapy planning in patients with squamous cell carcinoma of the tongue.
Samołyk-Kogaczewska N; Sierko E; Zuzda K; Gugnacki P; Szumowski P; Mojsak M; Burzyńska-Śliwowska J; Wojtukiewicz MZ; Szczecina K; Jurgilewicz DH
Strahlenther Onkol; 2019 Sep; 195(9):780-791. PubMed ID: 31214735
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Delineation of clinical target volume and organs at risk in cervical cancer radiotherapy by deep learning networks.
Tian M; Wang H; Liu X; Ye Y; Ouyang G; Shen Y; Li Z; Wang X; Wu S
Med Phys; 2023 Oct; 50(10):6354-6365. PubMed ID: 37246619
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
