736 related articles for article (PubMed ID: 33744750)
1. 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]
2. Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation.
Bi L; Fulham M; Song S; Feng DD; Kim J
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083369
[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. 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]
5. 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]
6. Hyper-fusion network for semi-automatic segmentation of skin lesions.
Bi L; Fulham M; Kim J
Med Image Anal; 2022 Feb; 76():102334. PubMed ID: 34923251
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network.
Zhao X; Li L; Lu W; Tan S
Phys Med Biol; 2018 Dec; 64(1):015011. PubMed ID: 30523964
[TBL] [Abstract][Full Text] [Related]
9. Diffuse large B-cell lymphoma segmentation in PET-CT images via hybrid learning for feature fusion.
Yuan C; Zhang M; Huang X; Xie W; Lin X; Zhao W; Li B; Qian D
Med Phys; 2021 Jul; 48(7):3665-3678. PubMed ID: 33735451
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer.
Kumar A; Fulham M; Feng D; Kim J
IEEE Trans Med Imaging; 2019 Jun; ():. PubMed ID: 31217099
[TBL] [Abstract][Full Text] [Related]
12. Deep Learning for Variational Multimodality Tumor Segmentation in PET/CT.
Li L; Zhao X; Lu W; Tan S
Neurocomputing (Amst); 2020 Jun; 392():277-295. PubMed ID: 32773965
[TBL] [Abstract][Full Text] [Related]
13. Modality-Specific Segmentation Network for Lung Tumor Segmentation in PET-CT Images.
Xiang D; Zhang B; Lu Y; Deng S
IEEE J Biomed Health Inform; 2023 Mar; 27(3):1237-1248. PubMed ID: 35759605
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
[TBL] [Abstract][Full Text] [Related]
17. LSAM: L2-norm self-attention and latent space feature interaction for automatic 3D multi-modal head and neck tumor segmentation.
Li L; Tan J; Yu L; Li C; Nan H; Zheng S
Phys Med Biol; 2023 Nov; 68(22):. PubMed ID: 37852283
[No Abstract] [Full Text] [Related]
18. Dual-modality multi-atlas segmentation of torso organs from [
Wang H; Zhang N; Huo L; Zhang B
Int J Comput Assist Radiol Surg; 2019 Mar; 14(3):473-482. PubMed ID: 30390179
[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. 3D FULLY CONVOLUTIONAL NETWORKS FOR CO-SEGMENTATION OF TUMORS ON PET-CT IMAGES.
Zhong Z; Kim Y; Zhou L; Plichta K; Allen B; Buatti J; Wu X
Proc IEEE Int Symp Biomed Imaging; 2018 Apr; 2018():228-231. PubMed ID: 31772717
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]