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Journal Abstract Search

162 related items for PubMed ID: 10695530

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  • 7. Statistical textural features for detection of microcalcifications in digitized mammograms.
    Kim JK, Park HW.
    IEEE Trans Med Imaging; 1999 Mar; 18(3):231-8. PubMed ID: 10363701
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  • 9. Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images.
    Sahiner B, Chan HP, Petrick N, Wei D, Helvie MA, Adler DD, Goodsitt MM.
    IEEE Trans Med Imaging; 1996 Mar; 15(5):598-610. PubMed ID: 18215941
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  • 11. Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness.
    Huo Z, Giger ML, Vyborny CJ, Wolverton DE, Metz CE.
    Acad Radiol; 2000 Dec; 7(12):1077-84. PubMed ID: 11131052
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  • 12. Effect of dominant features on neural network performance in the classification of mammographic lesions.
    Huo Z, Giger ML, Metz CE.
    Phys Med Biol; 1999 Oct; 44(10):2579-95. PubMed ID: 10533930
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  • 15. Malignant and benign clustered microcalcifications: automated feature analysis and classification.
    Jiang Y, Nishikawa RM, Wolverton DE, Metz CE, Giger ML, Schmidt RA, Vyborny CJ, Doi K.
    Radiology; 1996 Mar; 198(3):671-8. PubMed ID: 8628853
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  • 16. Computerized characterization of masses on mammograms: the rubber band straightening transform and texture analysis.
    Sahiner B, Chan HP, Petrick N, Helvie MA, Goodsitt MM.
    Med Phys; 1998 Apr; 25(4):516-26. PubMed ID: 9571620
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