BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

201 related articles for article (PubMed ID: 32285220)

  • 1. Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules.
    Zhao J; Zhang C; Li D; Niu J
    J Digit Imaging; 2020 Aug; 33(4):869-878. PubMed ID: 32285220
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MSM-ViT: A multi-scale MobileViT for pulmonary nodule classification using CT images.
    Cao K; Tao H; Wang Z; Jin X
    J Xray Sci Technol; 2023; 31(4):731-744. PubMed ID: 37125604
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 3D gray density coding feature for benign-malignant pulmonary nodule classification on chest CT.
    Zheng B; Yang D; Zhu Y; Liu Y; Hu J; Bai C
    Med Phys; 2021 Dec; 48(12):7826-7836. PubMed ID: 34655238
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.
    Zhang S; Sun F; Wang N; Zhang C; Yu Q; Zhang M; Babyn P; Zhong H
    J Digit Imaging; 2019 Dec; 32(6):995-1007. PubMed ID: 31044393
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
    Huang W; Xue Y; Wu Y
    PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Nodule-CLIP: Lung nodule classification based on multi-modal contrastive learning.
    Sun L; Zhang M; Lu Y; Zhu W; Yi Y; Yan F
    Comput Biol Med; 2024 Jun; 175():108505. PubMed ID: 38688129
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [An automatic pulmonary nodules detection algorithm with multi-scale information fusion].
    Liu X; Qi S; Xiong P; Liu J; Wang H; Yang J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Jun; 37(3):434-441. PubMed ID: 32597085
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Attention pyramid pooling network for artificial diagnosis on pulmonary nodules.
    Wang H; Zhu H; Ding L; Yang K
    PLoS One; 2024; 19(5):e0302641. PubMed ID: 38753596
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of Benign and Malignant Lung Nodules in CT Images Based on Ensemble Learning Method.
    Xu Y; Wang S; Sun X; Yang Y; Fan J; Jin W; Li Y; Su F; Zhang W; Cui Q; Hu Y; Wang S; Zhang J; Chen C
    Interdiscip Sci; 2022 Mar; 14(1):130-140. PubMed ID: 34727340
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic pulmonary ground-glass opacity nodules detection and classification based on 3D neural network.
    Ma H; Guo H; Zhao M; Qi S; Li H; Tian Y; Li Z; Zhang G; Yao Y; Qian W
    Med Phys; 2022 Apr; 49(4):2555-2569. PubMed ID: 35092608
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-model Ensemble Learning Architecture Based on 3D CNN for Lung Nodule Malignancy Suspiciousness Classification.
    Liu H; Cao H; Song E; Ma G; Xu X; Jin R; Liu C; Hung CC
    J Digit Imaging; 2020 Oct; 33(5):1242-1256. PubMed ID: 32607905
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fusion of 3D lung CT and serum biomarkers for diagnosis of multiple pathological types on pulmonary nodules.
    Fu Y; Xue P; Li N; Zhao P; Xu Z; Ji H; Zhang Z; Cui W; Dong E
    Comput Methods Programs Biomed; 2021 Oct; 210():106381. PubMed ID: 34496322
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-Modal Feature Fusion-Based Multi-Branch Classification Network for Pulmonary Nodule Malignancy Suspiciousness Diagnosis.
    Yuan H; Wu Y; Dai M
    J Digit Imaging; 2023 Apr; 36(2):617-626. PubMed ID: 36478311
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules.
    Chen Y; Hou X; Yang Y; Ge Q; Zhou Y; Nie S
    J Digit Imaging; 2023 Apr; 36(2):688-699. PubMed ID: 36544067
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pulmonary Nodule Detection Based on Multiscale Feature Fusion.
    Zhao Y; Wang Z; Liu X; Chen Q; Li C; Zhao H; Wang Z
    Comput Math Methods Med; 2022; 2022():8903037. PubMed ID: 36590762
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Incorporating automatically learned pulmonary nodule attributes into a convolutional neural network to improve accuracy of benign-malignant nodule classification.
    Dai Y; Yan S; Zheng B; Song C
    Phys Med Biol; 2018 Dec; 63(24):245004. PubMed ID: 30524071
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Pulmonary nodules detection assistant platform: An effective computer aided system for early pulmonary nodules detection in physical examination.
    Han Y; Qi H; Wang L; Chen C; Miao J; Xu H; Wang Z; Guo Z; Xu Q; Lin Q; Liu H; Lu J; Liang F; Feng W; Li H; Liu Y
    Comput Methods Programs Biomed; 2022 Apr; 217():106680. PubMed ID: 35176595
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improved lung nodule diagnosis accuracy using lung CT images with uncertain class.
    Wang Z; Xin J; Sun P; Lin Z; Yao Y; Gao X
    Comput Methods Programs Biomed; 2018 Aug; 162():197-209. PubMed ID: 29903487
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.