These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

259 related articles for article (PubMed ID: 34404517)

  • 21. Computer-aided detection of solid lung nodules on follow-up MDCT screening: evaluation of detection, tracking, and reading time.
    Beigelman-Aubry C; Raffy P; Yang W; Castellino RA; Grenier PA
    AJR Am J Roentgenol; 2007 Oct; 189(4):948-55. PubMed ID: 17885070
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. 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]  

  • 24. Efficacy of computer-aided detection system and thin-slab maximum intensity projection technique in the detection of pulmonary nodules in patients with resected metastases.
    Park EA; Goo JM; Lee JW; Kang CH; Lee HJ; Lee CH; Park CM; Lee HY; Im JG
    Invest Radiol; 2009 Feb; 44(2):105-13. PubMed ID: 19034026
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Benefit of computer-aided detection analysis for the detection of subsolid and solid lung nodules on thin- and thick-section CT.
    Godoy MC; Kim TJ; White CS; Bogoni L; de Groot P; Florin C; Obuchowski N; Babb JS; Salganicoff M; Naidich DP; Anand V; Park S; Vlahos I; Ko JP
    AJR Am J Roentgenol; 2013 Jan; 200(1):74-83. PubMed ID: 23255744
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 3D deep learning for detecting pulmonary nodules in CT scans.
    Gruetzemacher R; Gupta A; Paradice D
    J Am Med Inform Assoc; 2018 Oct; 25(10):1301-1310. PubMed ID: 30137371
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Computer-aided detection of lung nodules on multidetector row computed tomography using three-dimensional analysis of nodule candidates and their surroundings.
    Matsumoto S; Ohno Y; Yamagata H; Takenaka D; Sugimura K
    Radiat Med; 2008 Nov; 26(9):562-9. PubMed ID: 19030967
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Performance of computer-aided detection of pulmonary nodules in low-dose CT: comparison with double reading by nodule volume.
    Zhao Y; de Bock GH; Vliegenthart R; van Klaveren RJ; Wang Y; Bogoni L; de Jong PA; Mali WP; van Ooijen PM; Oudkerk M
    Eur Radiol; 2012 Oct; 22(10):2076-84. PubMed ID: 22814824
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis.
    Silva M; Schaefer-Prokop CM; Jacobs C; Capretti G; Ciompi F; van Ginneken B; Pastorino U; Sverzellati N
    Invest Radiol; 2018 Aug; 53(8):441-449. PubMed ID: 29543693
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Is there an advantage to using computer aided detection for the early detection of pulmonary nodules within chest X-Ray imaging?
    Haber M; Drake A; Nightingale J
    Radiography (Lond); 2020 Aug; 26(3):e170-e178. PubMed ID: 32052750
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Evaluation of a method of computer-aided detection (CAD) of pulmonary nodules with computed tomography.
    Foti G; Faccioli N; D'Onofrio M; Contro A; Milazzo T; Pozzi Mucelli R
    Radiol Med; 2010 Sep; 115(6):950-61. PubMed ID: 20574707
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy.
    Hirose T; Nitta N; Shiraishi J; Nagatani Y; Takahashi M; Murata K
    Acad Radiol; 2008 Dec; 15(12):1505-12. PubMed ID: 19000867
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. 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]  

  • 36. Computer-aided diagnosis (CAD) of subsolid nodules: Evaluation of a commercial CAD system.
    Benzakoun J; Bommart S; Coste J; Chassagnon G; Lederlin M; Boussouar S; Revel MP
    Eur J Radiol; 2016 Oct; 85(10):1728-1734. PubMed ID: 27666609
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Computer-aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone-suppressed images.
    Schalekamp S; van Ginneken B; Koedam E; Snoeren MM; Tiehuis AM; Wittenberg R; Karssemeijer N; Schaefer-Prokop CM
    Radiology; 2014 Jul; 272(1):252-61. PubMed ID: 24635675
    [TBL] [Abstract][Full Text] [Related]  

  • 38. "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]  

  • 39. Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.
    Zhang S; Sun F; Wang N; Zhang C; Yu Q; Zhang M; Babyn P; Zhong H
    J Digit Imaging; 2019 Dec; 32(6):995-1007. PubMed ID: 31044393
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Clinical impact of a deep learning system for automated detection of missed pulmonary nodules on routine body computed tomography including the chest region.
    Chen K; Lai YC; Vanniarajan B; Wang PH; Wang SC; Lin YC; Ng SH; Tran P; Lin G
    Eur Radiol; 2022 May; 32(5):2891-2900. PubMed ID: 34999920
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.