113 related articles for article (PubMed ID: 37665772)
1. Semi-automatic fine delineation scheme for pancreatic cancer.
Zhan W; Yang Q; Chen S; Liu S; Liu Y; Li H; Li S; Gong Q; Liu L; Chen H
Med Phys; 2024 Mar; 51(3):1860-1871. PubMed ID: 37665772
[TBL] [Abstract][Full Text] [Related]
2. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
[TBL] [Abstract][Full Text] [Related]
3. Accurate object localization facilitates automatic esophagus segmentation in deep learning.
Li Z; Gan G; Guo J; Zhan W; Chen L
Radiat Oncol; 2024 May; 19(1):55. PubMed ID: 38735947
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI.
Groendahl AR; Moe YM; Kaushal CK; Huynh BN; Rusten E; Tomic O; Hernes E; Hanekamp B; Undseth C; Guren MG; Malinen E; Futsaether CM
Acta Oncol; 2022 Jan; 61(1):89-96. PubMed ID: 34783610
[TBL] [Abstract][Full Text] [Related]
6. RefineNet-based automatic delineation of the clinical target volume and organs at risk for three-dimensional brachytherapy for cervical cancer.
Jiang X; Wang F; Chen Y; Yan S
Ann Transl Med; 2021 Dec; 9(23):1721. PubMed ID: 35071415
[TBL] [Abstract][Full Text] [Related]
7. Automated lung tumor delineation on positron emission tomography/computed tomography via a hybrid regional network.
Lei Y; Wang T; Jeong JJ; Janopaul-Naylor J; Kesarwala AH; Roper J; Tian S; Bradley JD; Liu T; Higgins K; Yang X
Med Phys; 2023 Jan; 50(1):274-283. PubMed ID: 36203393
[TBL] [Abstract][Full Text] [Related]
8. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
[TBL] [Abstract][Full Text] [Related]
9. Learning-based automatic segmentation of arteriovenous malformations on contrast CT images in brain stereotactic radiosurgery.
Wang T; Lei Y; Tian S; Jiang X; Zhou J; Liu T; Dresser S; Curran WJ; Shu HK; Yang X
Med Phys; 2019 Jul; 46(7):3133-3141. PubMed ID: 31050804
[TBL] [Abstract][Full Text] [Related]
10. Auto-segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning.
Qiu W; Zhang W; Ma X; Kong Y; Shi P; Fu M; Wang D; Hu M; Zhou X; Dong Q; Zhou Q; Zhu J
Med Phys; 2023 Jan; 50(1):284-296. PubMed ID: 36047281
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
[TBL] [Abstract][Full Text] [Related]
13. Automatic stent recognition using perceptual attention U-net for quantitative intrafraction motion monitoring in pancreatic cancer radiotherapy.
He X; Cai W; Li F; Zhang P; Reyngold M; Cuaron JJ; Cerviño LI; Li T; Li X
Med Phys; 2022 Aug; 49(8):5283-5293. PubMed ID: 35524706
[TBL] [Abstract][Full Text] [Related]
14. CT based automatic clinical target volume delineation using a dense-fully connected convolution network for cervical Cancer radiation therapy.
Ju Z; Guo W; Gu S; Zhou J; Yang W; Cong X; Dai X; Quan H; Liu J; Qu B; Liu G
BMC Cancer; 2021 Mar; 21(1):243. PubMed ID: 33685404
[TBL] [Abstract][Full Text] [Related]
15. Deep learning based automatic internal gross target volume delineation from 4D-CT of hepatocellular carcinoma patients.
Yang Z; Yang X; Cao Y; Shao Q; Tang D; Peng Z; Di S; Zhao Y; Li S
J Appl Clin Med Phys; 2024 Jan; 25(1):e14211. PubMed ID: 37992226
[TBL] [Abstract][Full Text] [Related]
16. Three-dimensional deep neural network for automatic delineation of cervical cancer in planning computed tomography images.
Ding Y; Chen Z; Wang Z; Wang X; Hu D; Ma P; Ma C; Wei W; Li X; Xue X; Wang X
J Appl Clin Med Phys; 2022 Apr; 23(4):e13566. PubMed ID: 35192243
[TBL] [Abstract][Full Text] [Related]
17. ARPM-net: A novel CNN-based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images.
Zhang Z; Zhao T; Gay H; Zhang W; Sun B
Med Phys; 2021 Jan; 48(1):227-237. PubMed ID: 33151620
[TBL] [Abstract][Full Text] [Related]
18. Quantifying the robustness of [
Belli ML; Mori M; Broggi S; Cattaneo GM; Bettinardi V; Dell'Oca I; Fallanca F; Passoni P; Vanoli EG; Calandrino R; Di Muzio N; Picchio M; Fiorino C
Phys Med; 2018 May; 49():105-111. PubMed ID: 29866335
[TBL] [Abstract][Full Text] [Related]
19. Automatic segmentation of kidneys in computed tomography images using U-Net.
Khalal DM; Azizi H; Maalej N
Cancer Radiother; 2023 Apr; 27(2):109-114. PubMed ID: 36739197
[TBL] [Abstract][Full Text] [Related]
20. Validation of simplified dosimetry approaches in ⁸⁹Zr-PET/CT: the use of manual versus semi-automatic delineation methods to estimate organ absorbed doses.
Makris NE; van Velden FH; Huisman MC; Menke CW; Lammertsma AA; Boellaard R
Med Phys; 2014 Oct; 41(10):102503. PubMed ID: 25281978
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
