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Journal Abstract Search

163 related items for PubMed ID: 18215941

  • 1.
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  • 2. Reduction of false positives in lung nodule detection using a two-level neural classification.
    Lin JS, Lo SB, Hasegawa A, Freedman MT, Mun SK.
    IEEE Trans Med Imaging; 1996; 15(2):206-17. PubMed ID: 18215903
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  • 3. Classification of malignant and benign masses based on hybrid ART2LDA approach.
    Hadjiiski L, Sahiner B, Chan HP, Petrick N, Helvie M.
    IEEE Trans Med Imaging; 1999 Dec; 18(12):1178-87. PubMed ID: 10695530
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  • 4. False-positive reduction technique for detection of masses on digital mammograms: global and local multiresolution texture analysis.
    Wei D, Chan HP, Petrick N, Sahiner B, Helvie MA, Adler DD, Goodsitt MM.
    Med Phys; 1997 Jun; 24(6):903-14. PubMed ID: 9198026
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  • 6. Classification of mass and normal breast tissue on digital mammograms: multiresolution texture analysis.
    Wei D, Chan HP, Helvie MA, Sahiner B, Petrick N, Adler DD, Goodsitt MM.
    Med Phys; 1995 Sep; 22(9):1501-13. PubMed ID: 8531882
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  • 7. Image feature selection by a genetic algorithm: application to classification of mass and normal breast tissue.
    Sahiner B, Chan HP, Wei D, Petrick N, Helvie MA, Adler DD, Goodsitt MM.
    Med Phys; 1996 Oct; 23(10):1671-84. PubMed ID: 8946365
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  • 8. Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space.
    Chan HP, Wei D, Helvie MA, Sahiner B, Adler DD, Goodsitt MM, Petrick N.
    Phys Med Biol; 1995 May; 40(5):857-76. PubMed ID: 7652012
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  • 9. Computer-aided breast cancer detection and diagnosis of masses using difference of Gaussians and derivative-based feature saliency.
    Polakowski WE, Cournoyer DA, Rogers SK, DeSimio MP, Ruck DW, Hoffmeister JW, Raines RA.
    IEEE Trans Med Imaging; 1997 Dec; 16(6):811-9. PubMed ID: 9533581
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  • 14. Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets.
    Cha KH, Hadjiiski L, Samala RK, Chan HP, Caoili EM, Cohan RH.
    Med Phys; 2016 Apr; 43(4):1882. PubMed ID: 27036584
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  • 15. Digital mammography: mixed feature neural network with spectral entropy decision for detection of microcalcifications.
    Zheng B, Qian W, Clarke LP.
    IEEE Trans Med Imaging; 1996 Apr; 15(5):589-97. PubMed ID: 18215940
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  • 17. Analysis of mammographic microcalcifications using gray-level image structure features.
    Dhawan AP, Chitre Y, Kaiser-Bonasso C.
    IEEE Trans Med Imaging; 1996 Apr; 15(3):246-59. PubMed ID: 18215906
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  • 18. Markov random field for tumor detection in digital mammography.
    Li HD, Kallergi M, Clarke LP, Jain VK, Clark RA.
    IEEE Trans Med Imaging; 1995 Apr; 14(3):565-76. PubMed ID: 18215861
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  • 19. Texture analysis for tissue discrimination on T1-weighted MR images of the knee joint in a multicenter study: Transferability of texture features and comparison of feature selection methods and classifiers.
    Mayerhoefer ME, Breitenseher MJ, Kramer J, Aigner N, Hofmann S, Materka A.
    J Magn Reson Imaging; 2005 Nov; 22(5):674-80. PubMed ID: 16215966
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