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 *

125 related articles for article (PubMed ID: 33448905)

  • 1. Classification of malignant lung cancer using deep learning.
    Kumar V; Bakariya B
    J Med Eng Technol; 2021 Feb; 45(2):85-93. PubMed ID: 33448905
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques.
    Kavitha MS; Shanthini J; Sabitha R
    J Med Syst; 2019 Feb; 43(3):73. PubMed ID: 30746555
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT image.
    Halder A; Chatterjee S; Dey D; Kole S; Munshi S
    Comput Methods Programs Biomed; 2020 Dec; 197():105720. PubMed ID: 32877818
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.
    Ye W; Gu W; Guo X; Yi P; Meng Y; Han F; Yu L; Chen Y; Zhang G; Wang X
    Biomed Eng Online; 2019 Jan; 18(1):6. PubMed ID: 30670024
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.
    Wu P; Sun X; Zhao Z; Wang H; Pan S; Schuller B
    Comput Intell Neurosci; 2020; 2020():8975078. PubMed ID: 32318102
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The effects of physics-based data augmentation on the generalizability of deep neural networks: Demonstration on nodule false-positive reduction.
    Omigbodun AO; Noo F; McNitt-Gray M; Hsu W; Hsieh SS
    Med Phys; 2019 Oct; 46(10):4563-4574. PubMed ID: 31396974
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CAD system for lung nodule detection using deep learning with CNN.
    Manickavasagam R; Selvan S; Selvan M
    Med Biol Eng Comput; 2022 Jan; 60(1):221-228. PubMed ID: 34811644
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features.
    Li S; Xu P; Li B; Chen L; Zhou Z; Hao H; Duan Y; Folkert M; Ma J; Huang S; Jiang S; Wang J
    Phys Med Biol; 2019 Sep; 64(17):175012. PubMed ID: 31307017
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics analysis of pulmonary nodules in low-dose CT for early detection of lung cancer.
    Choi W; Oh JH; Riyahi S; Liu CJ; Jiang F; Chen W; White C; Rimner A; Mechalakos JG; Deasy JO; Lu W
    Med Phys; 2018 Apr; 45(4):1537-1549. PubMed ID: 29457229
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Expert knowledge-infused deep learning for automatic lung nodule detection.
    Tan J; Huo Y; Liang Z; Li L
    J Xray Sci Technol; 2019; 27(1):17-35. PubMed ID: 30452432
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning.
    Gu Y; Chi J; Liu J; Yang L; Zhang B; Yu D; Zhao Y; Lu X
    Comput Biol Med; 2021 Oct; 137():104806. PubMed ID: 34461501
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fully automatic detection of lung nodules in CT images using a hybrid feature set.
    Shaukat F; Raja G; Gooya A; Frangi AF
    Med Phys; 2017 Jul; 44(7):3615-3629. PubMed ID: 28409834
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Learning for the Classification of Small (≤2 cm) Pulmonary Nodules on CT Imaging: A Preliminary Study.
    Chae KJ; Jin GY; Ko SB; Wang Y; Zhang H; Choi EJ; Choi H
    Acad Radiol; 2020 Apr; 27(4):e55-e63. PubMed ID: 31780395
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. A novel computer-aided lung nodule detection system for CT images.
    Tan M; Deklerck R; Jansen B; Bister M; Cornelis J
    Med Phys; 2011 Oct; 38(10):5630-45. PubMed ID: 21992380
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic detection of multisize pulmonary nodules in CT images: Large-scale validation of the false-positive reduction step.
    Gupta A; Saar T; Martens O; Moullec YL
    Med Phys; 2018 Mar; 45(3):1135-1149. PubMed ID: 29359462
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Application of Radiomics in Classification and Prediction of Benign and Malignant Lung Tumors].
    Zhou T; Zhu C; Shi F
    Zhongguo Yi Liao Qi Xie Za Zhi; 2020 Feb; 44(2):113-117. PubMed ID: 32400982
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.