| 1 |
American College of Radiology. BI-RADS: mammography. In: Breast imaging reporting and data system: BI-RADS atlas. 4th ed. Reston, VA: American College of Radiology, 2003.
|
| 2 |
Kopans D, D'Orsi C."ACR system enhances mammography reporting". Diagn Imaging (San Franc), Vol.14,pp.125-132,1992.
|
| 3 |
American College of Radiology. Breast imaging and reporting system-ultrasound (BI-RADS). 4th ed. Reston: American College of Radiology; 2003.
|
| 4 |
Youn Jeong Kim,"Categorization and Evaluation of Usefulness of Breast Lesions with using Ultrasound BI-RADS",J Korean Radiol Soc,Vol.54,pp.313-318, 2006.
DOI
|
| 5 |
Seokyoon Choi,"Denoising of Digital Mammography Images Using Wavelet Transform", J Korean Radiol Soc, Vol.7,No.3.pp.181-189, 2013.
DOI
ScienceOn
|
| 6 |
Kolb T.M. ; Lichy J. ; Mercado C. ; Koenigsberg T. ; Brown M. ; New-House J.H. "A Novel Post-processing Algorithm for Digital Mammography: Effect on Conspicuity, Sensitivity, Speed and Confidence", columbia Prebyterian Medical Center, New York.
|
| 7 |
Williams MB, Raghunathan P, More MJ, et al. "Optimization of exposure parameters in full field digital mammography". Med Phys. Vol.35, pp.2414-2423, 2008.
DOI
ScienceOn
|
| 8 |
Pisano ED, Chandramouli J, Hemminger BM, et al. "The effect of intensity windowing on the detection of simulated masses embedded in dense portions of digitized mammograms in a laboratory setting". J Digit Imag.Vol.10, pp.174-82, 1997.
DOI
|
| 9 |
Pisano ED, Chandramouli J, Hemminger BM, et al. "Does intensity windowing improve the detection of simulated calcifications in dense mammograms?". J Digit Imag, Vol.10, pp.:79-84, 1997.
DOI
|
| 10 |
Cole EB, Pisano ED, Kistner EO, et al. "Diagnostic accuracy of digital mammography in patients with dense breasts who underwent problem-solving mammography effects of image processing and lesion type". Radiology. Vol.226, pp.153-60. 2003.
DOI
ScienceOn
|
| 11 |
Liberman L, Abramson AF, Squires FB, Glassman JR, Morris EA, Dershaw DD."The Breast Imaging Reporting and Data System: positive predictive value of mammographic features and final assessment categories". AJR Am J Roentgenol. Vol.171, pp.35-40, 1998.
DOI
ScienceOn
|
| 12 |
Berube M, Curpen B, Ugolini P, Lalonde L, Ouimet-Oliva D."Level of suspicion of a mammographic lesion: use of features defined by BI-RADS lexicon and correlation with large-core breast biopsy", Can Assoc Radiol J. Vol.49,pp.223-228,1998.
|
| 13 |
Orel SG, Kay N, Reynolds C, Sullivan DC."BI-RADS categorization as a predictor of malignancy". Radiology. Vol.211, pp.845-850, 1999.
DOI
ScienceOn
|
| 14 |
Tan YY, Wee SB, Tan MP, Chong BK."Positive predictive value of BI-RADS categorization in an asian population". Asian J Surg Vol.27, pp.186-191, 2004.
DOI
ScienceOn
|
| 15 |
Shtern F."Digital mammography and related technologies: a perspective from the National Cancer Institute". Radiology, Vol.183, pp.629-630, 1992.
DOI
|
| 16 |
Nariya Cho, Joo Hee Cha, Woo Kyung Moon,"Digital Mammography", J Korean Radiol Soc, Vol.52, pp.225-231, 2005.
DOI
|
| 17 |
Byng JW, Boyd NF, Fishell E, Jong RA, Yaffe MJ."The quantitative analysis of mammographic densities". Phys Med Biol, Vol.39, pp.1629-1638, 1994.
DOI
ScienceOn
|
| 18 |
Warren Burhenne LJ, Wood S, D'Orsi C, Feig SA, Kopans DB, O'Shaughnessy KF, et al."Potential contribution of computer-aided detection to the sensitivity of screening mammography". Radiology, Vol.215, pp.554-562, 2000.
DOI
ScienceOn
|
| 19 |
Lewin JM, D'Orsi CJ, Hendrick RE, Moss LJ, Isaacs PK, Karellas A, et al. Clinical comparison of full-field digital mammography for detection of breast cancer. AJR Am J Roentgenol Vol.179, pp.671-677,2002.
DOI
ScienceOn
|
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