BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

222 related articles for article (PubMed ID: 32615493)

  • 21. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.
    Setio AAA; Traverso A; de Bel T; Berens MSN; Bogaard CVD; Cerello P; Chen H; Dou Q; Fantacci ME; Geurts B; Gugten RV; Heng PA; Jansen B; de Kaste MMJ; Kotov V; Lin JY; Manders JTMC; Sóñora-Mengana A; García-Naranjo JC; Papavasileiou E; Prokop M; Saletta M; Schaefer-Prokop CM; Scholten ET; Scholten L; Snoeren MM; Torres EL; Vandemeulebroucke J; Walasek N; Zuidhof GCA; Ginneken BV; Jacobs C
    Med Image Anal; 2017 Dec; 42():1-13. PubMed ID: 28732268
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.
    Kozuka T; Matsukubo Y; Kadoba T; Oda T; Suzuki A; Hyodo T; Im S; Kaida H; Yagyu Y; Tsurusaki M; Matsuki M; Ishii K
    Jpn J Radiol; 2020 Nov; 38(11):1052-1061. PubMed ID: 32592003
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation.
    Lin FY; Chang YC; Huang HY; Li CC; Chen YC; Chen CM
    Eur Radiol; 2022 Jun; 32(6):3767-3777. PubMed ID: 35020016
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. 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]  

  • 28. The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks.
    Guo Q; Wang C; Guo J; Bai H; Xu X; Yang L; Wang J; Chen N; Wang Z; Gan Y; Liu L; Li W; Yi Z
    Comput Methods Programs Biomed; 2023 Feb; 229():107290. PubMed ID: 36502546
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models.
    Cascio D; Magro R; Fauci F; Iacomi M; Raso G
    Comput Biol Med; 2012 Nov; 42(11):1098-109. PubMed ID: 23020972
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection.
    Chen S; Han Y; Lin J; Zhao X; Kong P
    Artif Intell Med; 2020 Jul; 107():101881. PubMed ID: 32828440
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.
    Peters AA; Huber AT; Obmann VC; Heverhagen JT; Christe A; Ebner L
    Eur Radiol; 2022 Jun; 32(6):4324-4332. PubMed ID: 35059804
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Computer-aided detection (CAD) in lung cancer screening at chest MDCT: ROC analysis of CAD versus radiologist performance.
    Fraioli F; Bertoletti L; Napoli A; Pediconi F; Calabrese FA; Masciangelo R; Catalano C; Passariello R
    J Thorac Imaging; 2007 Aug; 22(3):241-6. PubMed ID: 17721333
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The detection of lung cancer using massive artificial neural network based on soft tissue technique.
    Rajagopalan K; Babu S
    BMC Med Inform Decis Mak; 2020 Oct; 20(1):282. PubMed ID: 33129343
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT.
    Sourlos N; Pelgrim G; Wisselink HJ; Yang X; de Jonge G; Rook M; Prokop M; Sidorenkov G; van Tuinen M; Vliegenthart R; van Ooijen PMA
    Eur Radiol Exp; 2024 May; 8(1):63. PubMed ID: 38764066
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Computer-aided nodule detection system: results in an unselected series of consecutive chest radiographs.
    Li F; Engelmann R; Armato SG; MacMahon H
    Acad Radiol; 2015 Apr; 22(4):475-80. PubMed ID: 25592026
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Postprocessing technique with MDCT data improves the accuracy of the detection of lung nodules.
    Yoneda K; Ueno J; Nishihara S; Tsujikawa T; Morita N; Otsuka H; Furutani K; Nishitani H; Kondo K; Nishioka Y
    Radiat Med; 2007 Dec; 25(10):511-5. PubMed ID: 18085401
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.