BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

26 related articles for article (PubMed ID: 38083369)

  • 1. 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]  

  • 2. Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology.
    Andrade-Miranda G; Jaouen V; Tankyevych O; Cheze Le Rest C; Visvikis D; Conze PH
    Comput Med Imaging Graph; 2023 Dec; 110():102308. PubMed ID: 37918328
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT.
    Eyuboglu S; Angus G; Patel BN; Pareek A; Davidzon G; Long J; Dunnmon J; Lungren MP
    Nat Commun; 2021 Mar; 12(1):1880. PubMed ID: 33767174
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring and Exploiting Multi-modality Uncertainty for Tumor Segmentation on PET/CT.
    Kang S; Kang Y; Tan S
    IEEE J Biomed Health Inform; 2024 May; PP():. PubMed ID: 38776203
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space.
    Fallahpoor M; Chakraborty S; Pradhan B; Faust O; Barua PD; Chegeni H; Acharya R
    Comput Methods Programs Biomed; 2024 Jan; 243():107880. PubMed ID: 37924769
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Current evidence base of FDG-PET/CT imaging in the clinical management of malignant pleural mesothelioma: emerging significance of image segmentation and global disease assessment.
    Basu S; Saboury B; Torigian DA; Alavi A
    Mol Imaging Biol; 2011 Oct; 13(5):801-11. PubMed ID: 21136185
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. [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]  

  • 12. 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]  

  • 13.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 14.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 15.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 16.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 17.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 18.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 2.