BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

282 related articles for article (PubMed ID: 31623996)

  • 1. Unboxing AI - Radiological Insights Into a Deep Neural Network for Lung Nodule Characterization.
    Venugopal VK; Vaidhya K; Murugavel M; Chunduru A; Mahajan V; Vaidya S; Mahra D; Rangasai A; Mahajan H
    Acad Radiol; 2020 Jan; 27(1):88-95. PubMed ID: 31623996
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification.
    Zheng S; Cornelissen LJ; Cui X; Jing X; Veldhuis RNJ; Oudkerk M; van Ooijen PMA
    Med Phys; 2021 Feb; 48(2):733-744. PubMed ID: 33300162
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Robust explanation supervision for false positive reduction in pulmonary nodule detection.
    Zhao Q; Chang CW; Yang X; Zhao L
    Med Phys; 2024 Mar; 51(3):1687-1701. PubMed ID: 38224306
    [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. Data analysis of the Lung Imaging Database Consortium and Image Database Resource Initiative.
    Wang W; Luo J; Yang X; Lin H
    Acad Radiol; 2015 Apr; 22(4):488-95. PubMed ID: 25601306
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Lung nodule classification using deep Local-Global networks.
    Al-Shabi M; Lan BL; Chan WY; Ng KH; Tan M
    Int J Comput Assist Radiol Surg; 2019 Oct; 14(10):1815-1819. PubMed ID: 31020576
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.
    Yoo H; Kim KH; Singh R; Digumarthy SR; Kalra MK
    JAMA Netw Open; 2020 Sep; 3(9):e2017135. PubMed ID: 32970157
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping.
    Lei Y; Tian Y; Shan H; Zhang J; Wang G; Kalra MK
    Med Image Anal; 2020 Feb; 60():101628. PubMed ID: 31865281
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation.
    Singadkar G; Mahajan A; Thakur M; Talbar S
    J Digit Imaging; 2020 Jun; 33(3):678-684. PubMed ID: 32026218
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.
    Messay T; Hardie RC; Tuinstra TR
    Med Image Anal; 2015 May; 22(1):48-62. PubMed ID: 25791434
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images.
    Li W; Cao P; Zhao D; Wang J
    Comput Math Methods Med; 2016; 2016():6215085. PubMed ID: 28070212
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.
    Wang Q; Shen F; Shen L; Huang J; Sheng W
    J Digit Imaging; 2019 Dec; 32(6):971-979. PubMed ID: 31062113
    [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. 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]  

    [Next]    [New Search]
    of 15.