BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 34555816)

  • 1. 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]  

  • 2. 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]  

  • 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. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 3D PET/CT tumor segmentation based on nnU-Net with GCN refinement.
    Xue H; Fang Q; Yao Y; Teng Y
    Phys Med Biol; 2023 Sep; 68(18):. PubMed ID: 37549672
    [No Abstract]   [Full Text] [Related]  

  • 14. 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]  

  • 15. ISA-Net: Improved spatial attention network for PET-CT tumor segmentation.
    Huang Z; Zou S; Wang G; Chen Z; Shen H; Wang H; Zhang N; Zhang L; Yang F; Wang H; Liang D; Niu T; Zhu X; Hu Z
    Comput Methods Programs Biomed; 2022 Nov; 226():107129. PubMed ID: 36156438
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-scale feature similarity-based weakly supervised lymphoma segmentation in PET/CT images.
    Huang Z; Guo Y; Zhang N; Huang X; Decazes P; Becker S; Ruan S
    Comput Biol Med; 2022 Dec; 151(Pt A):106230. PubMed ID: 36306574
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout.
    Zhao LM; Zhang H; Kim DD; Ghimire K; Hu R; Kargilis DC; Tang L; Meng S; Chen Q; Liao WH; Bai H; Jiao Z; Feng X
    Phys Med Biol; 2023 Apr; 68(9):. PubMed ID: 37019119
    [No Abstract]   [Full Text] [Related]  

  • 18. Erratum: EFNet: evidence fusion network for tumor segmentation from PET-CT volumes (2021
    Diao Z; Jiang H; Han XH; Yao YD; Shi T
    Phys Med Biol; 2021 Dec; 66(24):. PubMed ID: 34866596
    [No Abstract]   [Full Text] [Related]  

  • 19. [Breast cancer lesion segmentation based on co-learning feature fusion and Transformer].
    Zhai Y; Chen Z; Shao D
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2024 Apr; 41(2):237-245. PubMed ID: 38686403
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level.
    Chen Y; Fan S; Chen Y; Che C; Cao X; He X; Song X; Zhao F
    Med Phys; 2021 Jul; 48(7):3804-3814. PubMed ID: 33969487
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.