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Journal Abstract Search

166 related items for PubMed ID: 7652012

  • 21. Classification of breast masses via nonlinear transformation of features based on a kernel matrix.
    Mu T, Nandi AK, Rangayyan RM.
    Med Biol Eng Comput; 2007 Aug; 45(8):769-80. PubMed ID: 17659369
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  • 22. Computer-aided classification of mammographic masses using visually sensitive image features.
    Wang Y, Aghaei F, Zarafshani A, Qiu Y, Qian W, Zheng B.
    J Xray Sci Technol; 2017 Aug; 25(1):171-186. PubMed ID: 27911353
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  • 23. Characterization of mammographic masses based on level set segmentation with new image features and patient information.
    Shi J, Sahiner B, Chan HP, Ge J, Hadjiiski L, Helvie MA, Nees A, Wu YT, Wei J, Zhou C, Zhang Y, Cui J.
    Med Phys; 2008 Jan; 35(1):280-90. PubMed ID: 18293583
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  • 25. Breast cancer diagnosis: analyzing texture of tissue surrounding microcalcifications.
    Karahaliou AN, Boniatis IS, Skiadopoulos SG, Sakellaropoulos FN, Arikidis NS, Likaki EA, Panayiotakis GS, Costaridou LI.
    IEEE Trans Inf Technol Biomed; 2008 Nov; 12(6):731-8. PubMed ID: 19000952
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  • 28. Radiomics robustness assessment and classification evaluation: A two-stage method demonstrated on multivendor FFDM.
    Robinson K, Li H, Lan L, Schacht D, Giger M.
    Med Phys; 2019 May; 46(5):2145-2156. PubMed ID: 30802972
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  • 32. Usefulness of texture analysis for computerized classification of breast lesions on mammograms.
    Pereira RR, Azevedo Marques PM, Honda MO, Kinoshita SK, Engelmann R, Muramatsu C, Doi K.
    J Digit Imaging; 2007 Sep; 20(3):248-55. PubMed ID: 17122993
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  • 34. Classification of mammographic masses using generalized dynamic fuzzy neural networks.
    Lim WK, Er MJ.
    Med Phys; 2004 May; 31(5):1288-95. PubMed ID: 15191321
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  • 35. Computer-aided detection of breast masses on full field digital mammograms.
    Wei J, Sahiner B, Hadjiiski LM, Chan HP, Petrick N, Helvie MA, Roubidoux MA, Ge J, Zhou C.
    Med Phys; 2005 Sep; 32(9):2827-38. PubMed ID: 16266097
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  • 36. 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 Sep; 15(5):598-610. PubMed ID: 18215941
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  • 37. Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification.
    Petrick N, Chan HP, Wei D, Sahiner B, Helvie MA, Adler DD.
    Med Phys; 1996 Oct; 23(10):1685-96. PubMed ID: 8946366
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  • 38. Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis.
    Karahaliou A, Skiadopoulos S, Boniatis I, Sakellaropoulos P, Likaki E, Panayiotakis G, Costaridou L.
    Br J Radiol; 2007 Aug; 80(956):648-56. PubMed ID: 17621604
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  • 40. An automatic mass detection system in mammograms based on complex texture features.
    Tai SC, Chen ZS, Tsai WT.
    IEEE J Biomed Health Inform; 2014 Mar; 18(2):618-27. PubMed ID: 24608061
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