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 *

98 related articles for article (PubMed ID: 9650188)

  • 61. The effect of varying high pass filter parameters on the detectability of isolated pulmonary nodules in digitized chest images.
    Foley WD; Wilson CR; San Dretto M
    Invest Radiol; 1986 Apr; 21(4):305-10. PubMed ID: 3700043
    [TBL] [Abstract][Full Text] [Related]  

  • 62. Automatic detection and recognition of silicosis in chest radiograph.
    Zhu L; Zheng R; Jin H; Zhang Q; Zhang W
    Biomed Mater Eng; 2014; 24(6):3389-95. PubMed ID: 25227049
    [TBL] [Abstract][Full Text] [Related]  

  • 63. Detection of lung nodules on digital chest radiographs: potential usefulness of a new contralateral subtraction technique.
    Tsukuda S; Heshiki A; Katsuragawa S; Li Q; MacMahon H; Doi K
    Radiology; 2002 Apr; 223(1):199-203. PubMed ID: 11930067
    [TBL] [Abstract][Full Text] [Related]  

  • 64. Diffuse nodular lung disease on chest radiographs: a pilot study of characterization by fractal dimension.
    Floyd CE; Patz EF; Lo JY; Vittitoe NF; Stambaugh LE
    AJR Am J Roentgenol; 1996 Nov; 167(5):1185-7. PubMed ID: 8911177
    [TBL] [Abstract][Full Text] [Related]  

  • 65. Prototype system for enhancement of frontal chest radiographs using eigenimage processing.
    Butler A; Bones P; Hurrell M
    J Med Imaging Radiat Oncol; 2008 Jun; 52(3):244-53. PubMed ID: 18477119
    [TBL] [Abstract][Full Text] [Related]  

  • 66. Fully Convolutional Architectures for Multiclass Segmentation in Chest Radiographs.
    Novikov AA; Lenis D; Major D; Hladuvka J; Wimmer M; Buhler K
    IEEE Trans Med Imaging; 2018 Aug; 37(8):1865-1876. PubMed ID: 29994439
    [TBL] [Abstract][Full Text] [Related]  

  • 67. Nodule detection in digital chest radiography: effect of system noise.
    Håkansson M; Båth M; Börjesson S; Kheddache S; Johnsson AA; Månsson LG
    Radiat Prot Dosimetry; 2005; 114(1-3):97-101. PubMed ID: 15933088
    [TBL] [Abstract][Full Text] [Related]  

  • 68. Automated detection of BB pixel clusters in digital fluoroscopic images.
    Cho PS; Johnson RH
    Phys Med Biol; 1998 Sep; 43(9):2677-83. PubMed ID: 9755954
    [TBL] [Abstract][Full Text] [Related]  

  • 69. A fully automated algorithm for the segmentation of lung fields on digital chest radiographic images.
    Duryea J; Boone JM
    Med Phys; 1995 Feb; 22(2):183-91. PubMed ID: 7565349
    [TBL] [Abstract][Full Text] [Related]  

  • 70. Classification of normal and abnormal lungs with interstitial diseases by rule-based method and artificial neural networks.
    Katsuragawa S; Doi K; MacMahon H; Monnier-Cholley L; Ishida T; Kobayashi T
    J Digit Imaging; 1997 Aug; 10(3):108-14. PubMed ID: 9268905
    [TBL] [Abstract][Full Text] [Related]  

  • 71. [CAD for digital chest radiograph].
    Yamamoto K
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2005 Jun; 61(6):800-6. PubMed ID: 15995608
    [No Abstract]   [Full Text] [Related]  

  • 72. Registration of synthetic tomographic projection data sets using cross-correlation.
    Fitchard EE; Aldridge JS; Reckwerdt PJ; Mackie TR
    Phys Med Biol; 1998 Jun; 43(6):1645-57. PubMed ID: 9651031
    [TBL] [Abstract][Full Text] [Related]  

  • 73. Computer-assisted diagnosis of tuberculosis: a first order statistical approach to chest radiograph.
    Tan JH; Acharya UR; Tan C; Abraham KT; Lim CM
    J Med Syst; 2012 Oct; 36(5):2751-9. PubMed ID: 21735251
    [TBL] [Abstract][Full Text] [Related]  

  • 74. Context-dependent enhancements for radiological images.
    Plessis B; Goldberg M; Dillon R; Tombaugh J; Robertson J; Bélanger G; Hickey N
    J Digit Imaging; 1989 May; 2(2):114-22. PubMed ID: 2488157
    [TBL] [Abstract][Full Text] [Related]  

  • 75. A new approach in artificial neuron theory for use in computer aided diagnosis.
    Livieratos GN; Chappell PH
    Med Eng Phys; 1995 Jul; 17(5):366-71. PubMed ID: 7670696
    [TBL] [Abstract][Full Text] [Related]  

  • 76. [Basic techniques for computer-aided diagnosis on chest images].
    Ishida T
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2003 May; 59(5):586-93. PubMed ID: 12881686
    [No Abstract]   [Full Text] [Related]  

  • 77. Detecting Disease in Radiographs with Intuitive Confidence.
    Jaeger S
    ScientificWorldJournal; 2015; 2015():946793. PubMed ID: 26495433
    [TBL] [Abstract][Full Text] [Related]  

  • 78. Automated Triaging of Adult Chest Radiographs.
    Auffermann WF
    Radiology; 2019 Apr; 291(1):203-204. PubMed ID: 30667336
    [No Abstract]   [Full Text] [Related]  

  • 79. A deep learning based dual encoder-decoder framework for anatomical structure segmentation in chest X-ray images.
    Ullah I; Ali F; Shah B; El-Sappagh S; Abuhmed T; Park SH
    Sci Rep; 2023 Jan; 13(1):791. PubMed ID: 36646735
    [TBL] [Abstract][Full Text] [Related]  

  • 80. Segmentation and classification on chest radiography: a systematic survey.
    Agrawal T; Choudhary P
    Vis Comput; 2023; 39(3):875-913. PubMed ID: 35035008
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 5.