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 *

1160 related articles for article (PubMed ID: 30996009)

  • 1. Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.
    Zhang C; Sun X; Dang K; Li K; Guo XW; Chang J; Yu ZQ; Huang FY; Wu YS; Liang Z; Liu ZY; Zhang XG; Gao XL; Huang SH; Qin J; Feng WN; Zhou T; Zhang YB; Fang WJ; Zhao MF; Yang XN; Zhou Q; Wu YL; Zhong WZ
    Oncologist; 2019 Sep; 24(9):1159-1165. PubMed ID: 30996009
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.
    Zhao X; Qi S; Zhang B; Ma H; Qian W; Yao Y; Sun J
    J Xray Sci Technol; 2019; 27(4):615-629. PubMed ID: 31227682
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies.
    Nasrullah N; Sang J; Alam MS; Mateen M; Cai B; Hu H
    Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31466261
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT.
    Ohno Y; Aoyagi K; Yaguchi A; Seki S; Ueno Y; Kishida Y; Takenaka D; Yoshikawa T
    Radiology; 2020 Aug; 296(2):432-443. PubMed ID: 32452736
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.
    Sim Y; Chung MJ; Kotter E; Yune S; Kim M; Do S; Han K; Kim H; Yang S; Lee DJ; Choi BW
    Radiology; 2020 Jan; 294(1):199-209. PubMed ID: 31714194
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey.
    Mastouri R; Khlifa N; Neji H; Hantous-Zannad S
    J Xray Sci Technol; 2020; 28(4):591-617. PubMed ID: 32568165
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detection of pulmonary nodules based on a multiscale feature 3D U-Net convolutional neural network of transfer learning.
    Tang S; Yang M; Bai J
    PLoS One; 2020; 15(8):e0235672. PubMed ID: 32845877
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.
    Eun H; Kim D; Jung C; Kim C
    Comput Methods Programs Biomed; 2018 Oct; 165():215-224. PubMed ID: 30337076
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks.
    Onishi Y; Teramoto A; Tsujimoto M; Tsukamoto T; Saito K; Toyama H; Imaizumi K; Fujita H
    Biomed Res Int; 2019; 2019():6051939. PubMed ID: 30719445
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs.
    Gu Y; Lu X; Yang L; Zhang B; Yu D; Zhao Y; Gao L; Wu L; Zhou T
    Comput Biol Med; 2018 Dec; 103():220-231. PubMed ID: 30390571
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss.
    Tran GS; Nghiem TP; Nguyen VT; Luong CM; Burie JC
    J Healthc Eng; 2019; 2019():5156416. PubMed ID: 30863524
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks.
    Huang X; Sun W; Tseng TB; Li C; Qian W
    Comput Med Imaging Graph; 2019 Jun; 74():25-36. PubMed ID: 30954678
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Agile convolutional neural network for pulmonary nodule classification using CT images.
    Zhao X; Liu L; Qi S; Teng Y; Li J; Qian W
    Int J Comput Assist Radiol Surg; 2018 Apr; 13(4):585-595. PubMed ID: 29473129
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images.
    Lyu J; Ling SH
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():686-689. PubMed ID: 30440489
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Convolutional neural network-based PSO for lung nodule false positive reduction on CT images.
    da Silva GLF; Valente TLA; Silva AC; de Paiva AC; Gattass M
    Comput Methods Programs Biomed; 2018 Aug; 162():109-118. PubMed ID: 29903476
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 58.