Comparison of two-dimensional synthesized mammograms versus original digital mammograms: a quantitative assessment
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Kwan-Hoong Ng | Kartini Rahmat | Maxine Tan | Mundher Al-Shabi | Leya Thomas | Wai-Yee Chan | K. Rahmat | W. Chan | M. Al-Shabi | Maxine Tan | Leya Thomas | K. Ng
[1] Omar S. Al-Kadi,et al. Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images , 2008, IEEE Transactions on Biomedical Engineering.
[2] S. Gavenonis,et al. Clinical Performance of Synthesized Two-dimensional Mammography Combined with Tomosynthesis in a Large Screening Population. , 2017, Radiology.
[3] E. Conant,et al. Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment , 2016, Breast Cancer Research.
[4] Andriy I Bandos,et al. Comparison of two-dimensional synthesized mammograms versus original digital mammograms alone and in combination with tomosynthesis images. , 2014, Radiology.
[5] B. Zheng,et al. Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk , 2015, Annals of Biomedical Engineering.
[6] B. G. Ziedses des Plantes,et al. Eine Neue Methode Zur Differenzierung in der Rontgenographie (Planigraphies) , 1932 .
[7] Rangaraj M. Rangayyan,et al. Gabor filters and phase portraits for the detection of architectural distortion in mammograms , 2006, Medical and Biological Engineering and Computing.
[8] B. Keller,et al. Agreement between Breast Percentage Density Estimations from Standard-Dose versus Synthetic Digital Mammograms: Results from a Large Screening Cohort Using Automated Measures. , 2017, Radiology.
[9] Anders Tingberg,et al. Breast tomosynthesis and digital mammography: a comparison of breast cancer visibility and BIRADS classification in a population of cancers with subtle mammographic findings , 2008, European Radiology.
[10] Bo Kyoung Seo,et al. Comparison of two-dimensional synthesized mammogram (2DSM) and conventional full-field digital mammogram (FFDM) for evaluation of breast cancer. , 2017, Clinical imaging.
[11] S. Teo,et al. A novel method of determining breast cancer risk using parenchymal textural analysis of mammography images on an Asian cohort , 2019, Physics in medicine and biology.
[12] N. Boyd,et al. The quantitative analysis of mammographic densities. , 1994, Physics in medicine and biology.
[13] Per Skaane,et al. Digital Breast Tomosynthesis and Synthetic 2D Mammography versus Digital Mammography: Evaluation in a Population-based Screening Program. , 2018, Radiology.
[14] Hong Liu,et al. Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases , 2020, IEEE Transactions on Medical Imaging.
[15] E. Halpern,et al. Assessing radiologist performance using combined digital mammography and breast tomosynthesis compared with digital mammography alone: results of a multicenter, multireader trial. , 2013, Radiology.
[16] Ji Soo Choi,et al. Comparison of synthetic and digital mammography with digital breast tomosynthesis or alone for the detection and classification of microcalcifications , 2018, European Radiology.
[17] Andriy I Bandos,et al. Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: comparison with digital breast tomosynthesis with full-field digital mammographic images. , 2014, Radiology.
[18] Nico Karssemeijer,et al. One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more? , 2017, European Radiology.
[19] Diagnostic value of the stand-alone synthetic image in digital breast tomosynthesis examinations , 2018, European Radiology.
[20] L. Liberman,et al. Breast imaging reporting and data system (BI-RADS). , 2002, Radiologic clinics of North America.
[21] Rangaraj M. Rangayyan,et al. Analysis of Structural Similarity in Mammograms for Detection of Bilateral Asymmetry , 2015, IEEE Transactions on Medical Imaging.
[22] Hong Liu,et al. A new approach to develop computer-aided detection schemes of digital mammograms , 2015, Physics in medicine and biology.
[23] Hui Li,et al. Relationships between computer-extracted mammographic texture pattern features and BRCA1/2mutation status: a cross-sectional study , 2014, Breast Cancer Research.
[24] Manuela Durando,et al. Comparison of synthetic mammography, reconstructed from digital breast tomosynthesis, and digital mammography: evaluation of lesion conspicuity and BI-RADS assessment categories , 2017, Breast Cancer Research and Treatment.
[25] Ehsan Samei,et al. How does c-view image quality compare with conventional 2D FFDM? , 2016, Medical physics.
[26] Leen-Kiat Soh,et al. Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices , 1999, IEEE Trans. Geosci. Remote. Sens..
[27] Mary M. Galloway,et al. Texture analysis using gray level run lengths , 1974 .
[28] K. Kerlikowske,et al. Effect of age, breast density, and family history on the sensitivity of first screening mammography. , 1996, JAMA.
[29] Andrew D. A. Maidment,et al. Implementation of Synthesized Two-dimensional Mammography in a Population-based Digital Breast Tomosynthesis Screening Program. , 2016, Radiology.
[30] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[31] David Gur,et al. Computerized assessment of tissue composition on digitized mammograms. , 2002, Academic radiology.
[32] Eero P. Simoncelli,et al. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.
[33] B. G. Ziedses des Plantes,et al. EINE NEUE METHODE ZUR DIFFERENZIERUNG IN DER RÖNTGENOGRAPHIE (PLANIGRAPHIE) , 1932 .
[34] David Gur,et al. Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry. , 2013, Academic radiology.
[35] M. Kontos,et al. The role of digital breast tomosynthesis in breast cancer screening: a manufacturer- and metrics-specific analysis , 2019, Cancer management and research.
[36] Matti Pietikäinen,et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2009, TPAMI-2008-09-0620 1 WLD: A Robust Local Image Descriptor , 2022 .
[37] Zhou Wang,et al. Complex Wavelet Structural Similarity: A New Image Similarity Index , 2009, IEEE Transactions on Image Processing.
[38] David Gur,et al. Association Between Changes in Mammographic Image Features and Risk for Near-Term Breast Cancer Development , 2016, IEEE Transactions on Medical Imaging.
[39] E. DeLong,et al. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.
[40] Bin Zheng,et al. Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions , 2017, Physics in medicine and biology.
[41] S Marcelja,et al. Mathematical description of the responses of simple cortical cells. , 1980, Journal of the Optical Society of America.
[42] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[43] L. Philpotts,et al. Advances in Digital Breast Tomosynthesis. , 2017, AJR. American journal of roentgenology.