BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

168 related articles for article (PubMed ID: 27986379)

  • 21. JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function.
    Lo SB; Freedman MT; Gillis LB; White CS; Mun SK
    AJR Am J Roentgenol; 2018 Mar; 210(3):480-488. PubMed ID: 29336601
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Computer-aided detection (CAD) of solid pulmonary nodules in chest x-ray equivalent ultralow dose chest CT - first in-vivo results at dose levels of 0.13mSv.
    Messerli M; Kluckert T; Knitel M; Rengier F; Warschkow R; Alkadhi H; Leschka S; Wildermuth S; Bauer RW
    Eur J Radiol; 2016 Dec; 85(12):2217-2224. PubMed ID: 27842670
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Value of a Computer-aided Detection System Based on Chest Tomosynthesis Imaging for the Detection of Pulmonary Nodules.
    Yamada Y; Shiomi E; Hashimoto M; Abe T; Matsusako M; Saida Y; Ogawa K
    Radiology; 2018 Apr; 287(1):333-339. PubMed ID: 29206596
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performance.
    Shiraishi J; Abe H; Li F; Engelmann R; MacMahon H; Doi K
    Acad Radiol; 2006 Aug; 13(8):995-1003. PubMed ID: 16843852
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Local contralateral subtraction based on bilateral symmetry of lung for reduction of false positives in computerized detection of pulmonary nodules.
    Yoshida H
    IEEE Trans Biomed Eng; 2004 May; 51(5):778-89. PubMed ID: 15132504
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images.
    Xu XW; Doi K; Kobayashi T; MacMahon H; Giger ML
    Med Phys; 1997 Sep; 24(9):1395-403. PubMed ID: 9304567
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A novel approach to nodule feature optimization on thin section thoracic CT.
    Samala R; Moreno W; You Y; Qian W
    Acad Radiol; 2009 Apr; 16(4):418-27. PubMed ID: 19268853
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A new method based on MTANNs for cutting down false-positives: an evaluation on different versions of commercial pulmonary nodule detection CAD software.
    Shi Z; Si C; Feng Y; He L; Suzuki K
    Biomed Mater Eng; 2014; 24(6):2839-46. PubMed ID: 25226989
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Research on lung nodule recognition algorithm based on deep feature fusion and MKL-SVM-IPSO.
    Li Y; Zheng H; Huang X; Chang J; Hou D; Lu H
    Sci Rep; 2022 Oct; 12(1):17403. PubMed ID: 36257988
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Nodule detection in digital chest radiography: introduction to the RADIUS chest trial.
    Båth M; Håkansson M; Börjesson S; Kheddache S; Grahn A; Ruschin M; Tingberg A; Mattsson S; Månsson LG
    Radiat Prot Dosimetry; 2005; 114(1-3):85-91. PubMed ID: 15933086
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Lung nodule detection on chest CT: evaluation of a computer-aided detection (CAD) system.
    Lee IJ; Gamsu G; Czum J; Wu N; Johnson R; Chakrapani S
    Korean J Radiol; 2005; 6(2):89-93. PubMed ID: 15968147
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis.
    Sun W; Zheng B; Qian W
    Comput Biol Med; 2017 Oct; 89():530-539. PubMed ID: 28473055
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Use of a computer-aided detection system to detect missed lung cancer at chest radiography.
    White CS; Flukinger T; Jeudy J; Chen JJ
    Radiology; 2009 Jul; 252(1):273-81. PubMed ID: 19561261
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs.
    Hwang EJ; Lee JS; Lee JH; Lim WH; Kim JH; Choi KS; Choi TW; Kim TH; Goo JM; Park CM
    Radiology; 2021 Nov; 301(2):455-463. PubMed ID: 34463551
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images.
    Sihong Chen ; Jing Qin ; Xing Ji ; Baiying Lei ; Tianfu Wang ; Dong Ni ; Jie-Zhi Cheng
    IEEE Trans Med Imaging; 2017 Mar; 36(3):802-814. PubMed ID: 28113928
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection.
    Li X; Shen L; Xie X; Huang S; Xie Z; Hong X; Yu J
    Artif Intell Med; 2020 Mar; 103():101744. PubMed ID: 31732411
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Multistage segmentation model and SVM-ensemble for precise lung nodule detection.
    Naqi SM; Sharif M; Yasmin M
    Int J Comput Assist Radiol Surg; 2018 Jul; 13(7):1083-1095. PubMed ID: 29492880
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.