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Journal Abstract Search

503 related items for PubMed ID: 27440183

  • 1. Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research.
    Ferreira Junior JR, Oliveira MC, de Azevedo-Marques PM.
    J Digit Imaging; 2016 Dec; 29(6):716-729. PubMed ID: 27440183
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  • 2. 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
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  • 4. Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database.
    Jacobs C, van Rikxoort EM, Murphy K, Prokop M, Schaefer-Prokop CM, van Ginneken B.
    Eur Radiol; 2016 Jul; 26(7):2139-47. PubMed ID: 26443601
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  • 5. 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
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  • 6. Measuring Interobserver Disagreement in Rating Diagnostic Characteristics of Pulmonary Nodule Using the Lung Imaging Database Consortium and Image Database Resource Initiative.
    Lin H, Huang C, Wang W, Luo J, Yang X, Liu Y.
    Acad Radiol; 2017 Apr; 24(4):401-410. PubMed ID: 28169141
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  • 9. Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer.
    Dhara AK, Mukhopadhyay S, Dutta A, Garg M, Khandelwal N.
    J Digit Imaging; 2017 Feb; 30(1):63-77. PubMed ID: 27678255
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  • 11. 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
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  • 12. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery.
    Messay T, Hardie RC, Rogers SK.
    Med Image Anal; 2010 Jun; 14(3):390-406. PubMed ID: 20346728
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  • 15. Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis.
    Niehaus R, Raicu DS, Furst J, Armato S.
    J Digit Imaging; 2015 Dec; 28(6):704-17. PubMed ID: 25708891
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  • 20. [Research progress on computed tomography image detection and classification of pulmonary nodule based on deep learning].
    Wang J, Lin L, Zhao S, Wu X, Wu S.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Aug 25; 36(4):670-676. PubMed ID: 31441270
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