These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

126 related articles for article (PubMed ID: 39003438)

  • 1. A position-enhanced sequential feature encoding model for lung infections and lymphoma classification on CT images.
    Zhao R; Li W; Chen X; Li Y; He B; Zhang Y; Deng Y; Wang C; Jia F
    Int J Comput Assist Radiol Surg; 2024 Oct; 19(10):2001-2009. PubMed ID: 39003438
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification of lung cancer subtypes on CT images with synthetic pathological priors.
    Zhu W; Jin Y; Ma G; Chen G; Egger J; Zhang S; Metaxas DN
    Med Image Anal; 2024 Jul; 95():103199. PubMed ID: 38759258
    [TBL] [Abstract][Full Text] [Related]  

  • 3. S-Net: an S-shaped network for nodule detection in 3D CT images.
    Zhang J; Zou W; Hu N; Zhang B; Wang J
    Phys Med Biol; 2024 Apr; 69(7):. PubMed ID: 38382097
    [No Abstract]   [Full Text] [Related]  

  • 4. 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]  

  • 5. An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification.
    Huang YS; Wang TC; Huang SZ; Zhang J; Chen HM; Chang YC; Chang RF
    Comput Methods Programs Biomed; 2023 Feb; 229():107278. PubMed ID: 36463674
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 3D multi-view squeeze-and-excitation convolutional neural network for lung nodule classification.
    Yang Y; Li X; Fu J; Han Z; Gao B
    Med Phys; 2023 Mar; 50(3):1905-1916. PubMed ID: 36639958
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.
    Ren Y; Tsai MY; Chen L; Wang J; Li S; Liu Y; Jia X; Shen C
    Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):287-295. PubMed ID: 31768885
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A 3D boundary-guided hybrid network with convolutions and Transformers for lung tumor segmentation in CT images.
    Liu H; Zhuang Y; Song E; Liao Y; Ye G; Yang F; Xu X; Xiao X; Hung CC
    Comput Biol Med; 2024 Sep; 180():109009. PubMed ID: 39137673
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dual-branch feature fusion S3D V-Net network for lung nodules segmentation.
    Xu X; Du L; Yin D
    J Appl Clin Med Phys; 2024 Jun; 25(6):e14331. PubMed ID: 38478388
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic segmentation of lung tumors on CT images based on a 2D & 3D hybrid convolutional neural network.
    Gan W; Wang H; Gu H; Duan Y; Shao Y; Chen H; Feng A; Huang Y; Fu X; Ying Y; Quan H; Xu Z
    Br J Radiol; 2021 Oct; 94(1126):20210038. PubMed ID: 34347535
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel fusion algorithm for benign-malignant lung nodule classification on CT images.
    Ma L; Wan C; Hao K; Cai A; Liu L
    BMC Pulm Med; 2023 Nov; 23(1):474. PubMed ID: 38012620
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A semantic fidelity interpretable-assisted decision model for lung nodule classification.
    Zhan X; Long H; Gou F; Wu J
    Int J Comput Assist Radiol Surg; 2024 Apr; 19(4):625-633. PubMed ID: 38141069
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CMAN: Cascaded Multi-scale Spatial Channel Attention-guided Network for large 3D deformable registration of liver CT images.
    Pham XL; Luu MH; van Walsum T; Mai HS; Klein S; Le NH; Chu DT
    Med Image Anal; 2024 Aug; 96():103212. PubMed ID: 38830326
    [TBL] [Abstract][Full Text] [Related]  

  • 14. LGDNet: local feature coupling global representations network for pulmonary nodules detection.
    Chi J; Zhao J; Wang S; Yu X; Wu C
    Med Biol Eng Comput; 2024 Jul; 62(7):1991-2004. PubMed ID: 38429443
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Res-trans networks for lung nodule classification.
    Liu D; Liu F; Tie Y; Qi L; Wang F
    Int J Comput Assist Radiol Surg; 2022 Jun; 17(6):1059-1068. PubMed ID: 35290646
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
    Wang Y; Zhou Y; Shen W; Park S; Fishman EK; Yuille AL
    Med Image Anal; 2019 Jul; 55():88-102. PubMed ID: 31035060
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism.
    Islam NU; Zhou Z; Gehlot S; Gotway MB; Liang J
    Med Image Anal; 2024 Jan; 91():102988. PubMed ID: 37924750
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quantum-enhanced hybrid feature engineering in thoracic CT image analysis for state-of-the-art nodule classification: an advanced lung cancer assessment.
    Shivwanshi RR; Nirala N
    Biomed Phys Eng Express; 2024 May; 10(4):. PubMed ID: 38663368
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-Layer Perceptron Classifier with the Proposed Combined Feature Vector of 3D CNN Features and Lung Radiomics Features for COPD Stage Classification.
    Yang Y; Zeng N; Chen Z; Li W; Guo Y; Wang S; Duan W; Liu Y; Chen R; Kang Y
    J Healthc Eng; 2023; 2023():3715603. PubMed ID: 37953910
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.