BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

347 related articles for article (PubMed ID: 33848755)

  • 1. A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data.
    Xiao Y; Wang X; Li Q; Fan R; Chen R; Shao Y; Chen Y; Gao Y; Liu A; Chen L; Liu S
    Comput Med Imaging Graph; 2021 Jun; 90():101889. PubMed ID: 33848755
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier.
    Li Q; Li F; Doi K
    Acad Radiol; 2008 Feb; 15(2):165-75. PubMed ID: 18206615
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pulmonary nodules detection assistant platform: An effective computer aided system for early pulmonary nodules detection in physical examination.
    Han Y; Qi H; Wang L; Chen C; Miao J; Xu H; Wang Z; Guo Z; Xu Q; Lin Q; Liu H; Lu J; Liang F; Feng W; Li H; Liu Y
    Comput Methods Programs Biomed; 2022 Apr; 217():106680. PubMed ID: 35176595
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Automatic pulmonary ground-glass opacity nodules detection and classification based on 3D neural network.
    Ma H; Guo H; Zhao M; Qi S; Li H; Tian Y; Li Z; Zhang G; Yao Y; Qian W
    Med Phys; 2022 Apr; 49(4):2555-2569. PubMed ID: 35092608
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Maximum-Intensity-Projection and Computer-Aided-Detection Algorithms as Stand-Alone Reader Devices in Lung Cancer Screening Using Different Dose Levels and Reconstruction Kernels.
    Ebner L; Roos JE; Christensen JD; Dobrocky T; Leidolt L; Brela B; Obmann VC; Joy S; Huber A; Christe A
    AJR Am J Roentgenol; 2016 Aug; 207(2):282-8. PubMed ID: 27249174
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A method for evaluating the performance of computer-aided detection of pulmonary nodules in lung cancer CT screening: detection limit for nodule size and density.
    Kobayashi H; Ohkubo M; Narita A; Marasinghe JC; Murao K; Matsumoto T; Sone S; Wada S
    Br J Radiol; 2017 Feb; 90(1070):20160313. PubMed ID: 27897029
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.
    Zheng S; Guo J; Cui X; Veldhuis RNJ; Oudkerk M; van Ooijen PMA
    IEEE Trans Med Imaging; 2020 Mar; 39(3):797-805. PubMed ID: 31425026
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The effect of pulmonary vessel suppression on computerized detection of nodules in chest CT scans.
    Gu X; Xie W; Fang Q; Zhao J; Li Q
    Med Phys; 2020 Oct; 47(10):4917-4927. PubMed ID: 32681587
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population.
    Murchison JT; Ritchie G; Senyszak D; Nijwening JH; van Veenendaal G; Wakkie J; van Beek EJR
    PLoS One; 2022; 17(5):e0266799. PubMed ID: 35511758
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Performance Analysis in Children of Traditional and Deep Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults.
    Hardie RC; Trout AT; Dillman JR; Narayanan BN; Tanimoto AA
    AJR Am J Roentgenol; 2024 Feb; 222(2):e2330345. PubMed ID: 37991333
    [No Abstract]   [Full Text] [Related]  

  • 14. Shape-based computer-aided detection of lung nodules in thoracic CT images.
    Ye X; Lin X; Dehmeshki J; Slabaugh G; Beddoe G
    IEEE Trans Biomed Eng; 2009 Jul; 56(7):1810-20. PubMed ID: 19527950
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development of a modified 3D region proposal network for lung nodule detection in computed tomography scans: a secondary analysis of lung nodule datasets.
    Lin CY; Guo SM; Lien JJ; Tsai TY; Liu YS; Lai CH; Hsu IL; Chang CC; Tseng YL
    Cancer Imaging; 2024 Mar; 24(1):40. PubMed ID: 38509635
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Lung cancer screening with CT: evaluation of radiologists and different computer assisted detection software (CAD) as first and second readers for lung nodule detection at different dose levels.
    Christe A; Leidolt L; Huber A; Steiger P; Szucs-Farkas Z; Roos JE; Heverhagen JT; Ebner L
    Eur J Radiol; 2013 Dec; 82(12):e873-8. PubMed ID: 24074648
    [TBL] [Abstract][Full Text] [Related]  

  • 18. "Will I change nodule management recommendations if I change my CAD system?"-impact of volumetric deviation between different CAD systems on lesion management.
    Peters AA; Christe A; von Stackelberg O; Pohl M; Kauczor HU; Heußel CP; Wielpütz MO; Ebner L
    Eur Radiol; 2023 Aug; 33(8):5568-5577. PubMed ID: 36894752
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.