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1

Highnam, Ralph, and Michael Brady. Mammographic Image Analysis. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4613-5.

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2

Highnam, Ralph. Mammographic image analysis. Kluwer Academic Publishers, 1999.

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3

Highnam, Ralph. Mammographic Image Analysis. Springer Netherlands, 1999.

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4

Mugglestone, Mark. Perceptual and cognitive processes in mammographic image interpretation. University of Derby], 2000.

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5

1955-, Bowyer Kevin, and Astley S, eds. State of the art in digital mammographic image analysis. World Scientific, 1994.

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6

Young, K. C. Mammographic dose and image quality in the UK Breast Screening Programme. NHSBSP, 1995.

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7

Barkhausen, Jörg. Digital breast tomosynthesis: Technique and cases. Thieme, 2016.

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8

Institute, SETI, and United States. National Aeronautics and Space Administration., eds. "Advanced signal processing methods applied to digital mammography": Final report : August 1, 1994 to October 31, 1997. National Aeronautics and Space Administration, 1997.

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9

Agency, International Atomic Energy, ed. Optimization of the radiological protection of patients: Image quality and dose in mammography (coordinated research in Europe). International Atomic Energy Agency, 2005.

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10

Tibor, Tot, and Dean Peter B, eds. Breast cancer: The art and science of early detection with mammography : perception, interpretation, histopathologic correlation. Thieme, 2005.

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11

Rajendra, Acharya U., ed. Performance evaluation of breast cancer: Screening, diagnosis, and treatment. American Scientific Publishers, 2010.

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12

M, Rangayyan Rangaraj, and Desautels J. E. Leo, eds. Analysis of oriented texture: With applications to the detection of architectural distortion in mammograms. Morgan & Claypool, 2011.

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13

PhD, Flynn Michael J., Hsieh Jiang, Society of Photo-optical Instrumentation Engineers., and American Association of Physicists in Medicine., eds. Medical imaging 2006.: 12-16 February 2006, San Diego, California, USA. SPIE, 2006.

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14

Physics, of Medical Imaging Conference (2005 San Diego Calif ). Medical imaging 2005.: 13-15 February 2005, San Diego, California, USA. SPIE, 2005.

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15

Post-Processing of Low Dose Mammography Images. Storming Media, 2002.

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16

Lattanzio, V., and G. Simonetti. Mammography: Guide to Interpreting, Reporting and Auditing Mammographic Images - Re.Co.R.M. (From Italian Reporting and Codifying the Results of Mammography). Springer, 2005.

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17

Lattanzio, V., G. Simonetti, and C. Di Maggio. Mammography: Guide to Interpreting, Reporting and Auditing Mammographic Images - Re. Co. R. M. Springer, 2010.

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18

Oshiro, Thomas, and Lawrence W. Bassett. An Overview of Digital Mammography Technology and MQSA Requirements. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0006.

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Understanding the fundamentals of mammographic imaging is essential for any practicing physician. The elements described in this section should serve as a brief review of how digital mammography systems acquire and generate images. Equipment including digital receptor design and technical factors to optimize the radiographic contrast and spatial resolution while reducing breast doses to lower levels are outlined. General image processing features as well as commonly encountered clinical artifacts will be reviewed. MQSA (Mammography Quality Standards Act) and ACR standards that define qualifica
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19

Lee, Bonmyong. Stereotactic Core Biopsy. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0055.

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Stereotactic biopsy systems utilize angled mammography images and parallax shift to localize and sample a target. The most common indication for stereotactic core biopsy is to sample suspicious/indeterminate calcifications, but it can be used to biopsy any mammographic finding (mass, developing asymmetry, architectural distortion). In benign cases, core biopsy may avoid unnecessary surgery. In malignant cases, core biopsy allows for a pathological diagnosis prior to lumpectomy, and better surgical planning. This chapter, appearing in the section on interventions and surgical procedures, provid
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20

Digital Mammography. Lippincott Williams & Wilkins, 2003.

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21

Dang, Pragya, and Constance D. Lehman. Breast MRI Overview: Imaging Techniques and Equipment, Clinical Uses, Image Interpretation. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0009.

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Contrast-enhanced breast MRI is a highly sensitive modality for early detection and diagnosis of breast cancer, particularly in high-risk populations. It has also been shown to be superior to mammography in establishing the extent of disease in patients with newly diagnosed breast cancer. This chapter, appearing in the section on breast cancer overview, reviews breast MRI imaging technique, clinical uses, gives an overview of image interpretation, and applied physics. Topics discussed include equipment such as hardware, imaging protocols, patient preparation and positioning, and relevant physi
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22

Digital mammography versus film-screen mammography: Technical, clinical and economic assessments. Canadian Coordinating Office for Health Technology Assessment, 2002.

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23

(Translator), T. C. Telger, ed. Mammography: Diagnosis and Pathological Analysis. Springer, 2004.

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24

Venta, Dra Luz A. Mamografia: Intervencicn E Imagen (Coleccion Diagnostica y Terapeutica: Radiologia E Imagen). Lippincott Williams & Wilkins, 2000.

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25

Gale, A. G., Sue M. Astley, and Kevin Bowyer M. D. Digital Mammography: Proceedings of the 2nd International Workshop on Digital Mammography, York, England, 10-12 July 1994 (International Congress Series). Elsevier Science Pub Co, 1994.

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26

(Editor), Nico Karssemeijer, Martin Thijssen (Editor), Jan Hendriks (Editor), and Leon van Erning (Editor), eds. Digital Mammography - Nijmegen, 1998 (Computational Imaging and Vision). Springer, 1998.

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27

Loving, Vilert A. Pre-Operative Localization. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0059.

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Non-palpable, surgical breast lesions require image guidance to direct the site of excision. With the widespread adoption of screening mammography and increased identification of non-palpable breast cancers, image guidance is critical to support the surgeon in successful breast-conserving surgery. Pre-operative localization procedures are typically performed under mammography guidance or ultrasound guidance, and less commonly under magnetic resonance imaging (MRI) guidance. This chapter, appearing in the section on interventions and surgical changes, reviews protocols and pitfalls, pre-/peri-/
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28

Bovik, Alan. Digital Mammography (Synthesis Lectures on Image, Video, and Multimedia Processing). Morgan & Claypool Publishers, 2007.

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29

LeVine III, Harry. Medical Imaging. ABC-CLIO, LLC, 2010. http://dx.doi.org/10.5040/9798400684333.

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A prize-winning medical writer offers an explanation of modern diagnostic medical imaging technologies—and the issues that result from their use and misuse. Medical Imaging describes the discovery and development of diagnostic imaging technologies, explaining how the technologies work and exploring some of the issues that such powerful and expensive technologies create. The book begins with the discovery of X-rays in 1895 and traces the history of imaging technology through today's tools, such as X-ray computed tomography, magnetic resonance imaging (MRI), functional imaging by positron emissi
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30

Bowyer, K. W., and S. Astley. State of the Art in Digital Mammographic Image Analysis. WORLD SCIENTIFIC, 1994. http://dx.doi.org/10.1142/2124.

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31

Bowyer, K. W., and Sue Astley. State of the Art in Digital Mammographic Image Amalysis. World Scientific Publishing Co Pte Ltd, 1994.

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32

Astley, Sue. State of the Art in Digital Mammographic Image Analysis. World Scientific Publishing Co Pte Ltd, 1994.

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33

Mammographic Imaging: A Practical Guide. 2nd ed. Lippincott Williams & Wilkins, 2001.

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34

Rangayyan, Rangaraj M., John D. Enderle, Arianna Mencattini, Marcello Salmeri, and Paola Casti. Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer. Morgan & Claypool Publishers, 2017.

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35

Rangayyan, Rangaraj M., John D. Enderle, Arianna Mencattini, Marcello Salmeri, and Paola Casti. Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer. Morgan & Claypool Publishers, 2017.

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36

Mencattini, Arianna, and Paola Casti. Computerized Analysis of Mammographic Images for Detection and Characterization of Breast Cancer. Springer International Publishing AG, 2017.

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37

Kostović, Nenad, and Ralf Stahr. Mammographic Image Reading: An interactive training program - un programa interactivo de entrenamiento. Springer, 2022.

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38

Alkhalifah, Khaled. The effect of x-ray tube anode and filter materials on image quality and breast dose in mammography. 1995.

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39

Singh, Sameer, and S. Kamaledin Setarehdan. Advanced Algorithmic Approaches to Medical Image Segmentation: State-of-the-Art Applications in Cardiology, Neurology, Mammography and Pathology. Springer, 2011.

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40

Advanced Algorithmic Approaches to Medical Image Segmentation: State-of-the-Art Applications in Cardiology, Neurology, Mammography and Pathology. Springer London, 2002.

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41

(Editor), Jasjit S. Suri, S. Kamaledin Setarehdan (Editor), and Sameer Singh (Editor), eds. Advanced Algorithmic Approaches to Medical Image Segmentation: State Of The Art Applications in Cardiology, Neurology, Mammography and Pathology. Springer, 2002.

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42

A feasibility study of a hybrid photodiode array: CCD as a direct-conversion x-ray image detector for digital mammography. National Library of Canada, 1998.

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43

Butler, Reni S. Architectural Distortion (Radial Scar). Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0030.

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Radial scars are benign lesions of the breast characterized pathologically by a fibroelastic core containing entrapped ducts and lobules that radiate outwards in a stellate pattern. This chapter, highlighting radial scar as a cause of architectural distortion, reviews its imaging features and differential diagnosis on mammography, digital breast tomosynthesis, ultrasound, and MRI; its diagnostic workup using multiple modalities; and its histological confirmation with image-guided core needle biopsy. The particular challenge of radial scar presenting as architectural distortion seen only with t
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44

Denham, S. LeeAnn, and Heidi R. Umphrey. Radiology–Pathology Correlation. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0058.

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Over 1 million image-guided breast biopsies, guided by mammography, ultrasound, or magnetic resonance imaging, are performed annually in the United States. When the imaging characteristics of a lesion correspond to the histopathological diagnosis (e.g., suspicious imaging findings and malignant pathology), the biopsy results are deemed concordant. However, when the imaging characteristics differ from the pathological results (e.g., suspicious imaging findings but benign pathology), this biopsy result is considered discordant. This chapter, appearing in the section on interventions and surgical
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45

Levesque, Paul H., and Laura Sheiman. One-View Asymmetry. Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0013.

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This chapter, appearing in the section “Asymmetry, Mass, and Distortion,” will discuss the presence of tissue asymmetry visualized only on one view. The distribution of fibroglandular tissue is extremely variable and unique from one patient to another; however, in most patients the parenchyma is usually distributed within the breasts symmetrically in a “mirror-image” fashion. Areas of tissue density (asymmetry) may be seen that are only visualized on the craniocaudal (CC) or mediolateral oblique (MLO) view. In the majority of patients, this finding represents superimposed normal tissue, or isl
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46

Durand, Melissa A. Architectural Distortion (Cancer). Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0029.

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An architectural distortion (AD) is an alteration of the breast parenchyma, which results in radiating lines or spicules emanating from a point without a distinct mass. It can occur as the primary finding, or it may be an associated feature of a mass, asymmetry, or calcifications. AD is a mammographic finding with a high positive predictive value for malignancy and is a major cause of false-negative screening exams. This chapter, appearing in the section on asymmetry, mass, and distortion, reviews the key imaging and clinical features, imaging protocols, differential diagnoses, management reco
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