163 related articles for article (PubMed ID: 36958235)
1. AATSN: Anatomy Aware Tumor Segmentation Network for PET-CT volumes and images using a lightweight fusion-attention mechanism.
Ahmad I; Xia Y; Cui H; Islam ZU
Comput Biol Med; 2023 May; 157():106748. PubMed ID: 36958235
[TBL] [Abstract][Full Text] [Related]
2. Recurrent feature fusion learning for multi-modality pet-ct tumor segmentation.
Bi L; Fulham M; Li N; Liu Q; Song S; Dagan Feng D; Kim J
Comput Methods Programs Biomed; 2021 May; 203():106043. PubMed ID: 33744750
[TBL] [Abstract][Full Text] [Related]
3. MFCNet: A multi-modal fusion and calibration networks for 3D pancreas tumor segmentation on PET-CT images.
Wang F; Cheng C; Cao W; Wu Z; Wang H; Wei W; Yan Z; Liu Z
Comput Biol Med; 2023 Mar; 155():106657. PubMed ID: 36791551
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. SwinCross: Cross-modal Swin transformer for head-and-neck tumor segmentation in PET/CT images.
Li GY; Chen J; Jang SI; Gong K; Li Q
Med Phys; 2024 Mar; 51(3):2096-2107. PubMed ID: 37776263
[TBL] [Abstract][Full Text] [Related]
6. Information fusion for fully automated segmentation of head and neck tumors from PET and CT images.
Shiri I; Amini M; Yousefirizi F; Vafaei Sadr A; Hajianfar G; Salimi Y; Mansouri Z; Jenabi E; Maghsudi M; Mainta I; Becker M; Rahmim A; Zaidi H
Med Phys; 2024 Jan; 51(1):319-333. PubMed ID: 37475591
[TBL] [Abstract][Full Text] [Related]
7. MSRA-Net: Tumor segmentation network based on Multi-scale Residual Attention.
Wu Y; Jiang H; Pang W
Comput Biol Med; 2023 May; 158():106818. PubMed ID: 36966557
[TBL] [Abstract][Full Text] [Related]
8. EFNet: evidence fusion network for tumor segmentation from PET-CT volumes.
Diao Z; Jiang H; Han XH; Yao YD; Shi T
Phys Med Biol; 2021 Oct; 66(20):. PubMed ID: 34555816
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.
Altazi BA; Zhang GG; Fernandez DC; Montejo ME; Hunt D; Werner J; Biagioli MC; Moros EG
J Appl Clin Med Phys; 2017 Nov; 18(6):32-48. PubMed ID: 28891217
[TBL] [Abstract][Full Text] [Related]
11. Automated computer quantification of breast cancer in small-animal models using PET-guided MR image co-segmentation.
Bagci U; Kramer-Marek G; Mollura DJ
EJNMMI Res; 2013 Jul; 3(1):49. PubMed ID: 23829944
[TBL] [Abstract][Full Text] [Related]
12. Cross modality fusion for modality-specific lung tumor segmentation in PET-CT images.
Zhang X; Zhang B; Deng S; Meng Q; Chen X; Xiang D
Phys Med Biol; 2022 Nov; 67(22):. PubMed ID: 36220014
[TBL] [Abstract][Full Text] [Related]
13. Optimal co-segmentation of tumor in PET-CT images with context information.
Song Q; Bai J; Han D; Bhatia S; Sun W; Rockey W; Bayouth JE; Buatti JM; Wu X
IEEE Trans Med Imaging; 2013 Sep; 32(9):1685-97. PubMed ID: 23693127
[TBL] [Abstract][Full Text] [Related]
14. Generating lung tumor internal target volumes from 4D-PET maximum intensity projections.
Lamb JM; Robinson C; Bradley J; Laforest R; Dehdashti F; White BM; Wuenschel S; Low DA
Med Phys; 2011 Oct; 38(10):5732-7. PubMed ID: 21992387
[TBL] [Abstract][Full Text] [Related]
15. MRLA-Net: A tumor segmentation network embedded with a multiple receptive-field lesion attention module in PET-CT images.
Zhou Y; Jiang H; Diao Z; Tong G; Luan Q; Li Y; Li X
Comput Biol Med; 2023 Feb; 153():106538. PubMed ID: 36646023
[TBL] [Abstract][Full Text] [Related]
16. DGCBG-Net: A dual-branch network with global cross-modal interaction and boundary guidance for tumor segmentation in PET/CT images.
Zou Z; Zou B; Kui X; Chen Z; Li Y
Comput Methods Programs Biomed; 2024 Jun; 250():108125. PubMed ID: 38631130
[TBL] [Abstract][Full Text] [Related]
17. Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET-MRI-guided radiotherapy treatment planning.
Arabi H; Koutsouvelis N; Rouzaud M; Miralbell R; Zaidi H
Phys Med Biol; 2016 Sep; 61(17):6531-52. PubMed ID: 27524504
[TBL] [Abstract][Full Text] [Related]
18. Phantom validation of coregistration of PET and CT for image-guided radiotherapy.
Lavely WC; Scarfone C; Cevikalp H; Li R; Byrne DW; Cmelak AJ; Dawant B; Price RR; Hallahan DE; Fitzpatrick JM
Med Phys; 2004 May; 31(5):1083-92. PubMed ID: 15191296
[TBL] [Abstract][Full Text] [Related]
19. DMCT-Net: dual modules convolution transformer network for head and neck tumor segmentation in PET/CT.
Wang J; Peng Y; Guo Y
Phys Med Biol; 2023 May; 68(11):. PubMed ID: 37141902
[No Abstract] [Full Text] [Related]
20. Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images.
Ju W; Xiang D; Zhang B; Wang L; Kopriva I; Chen X
IEEE Trans Image Process; 2015 Dec; 24(12):5854-67. PubMed ID: 26462198
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]