167 related articles for article (PubMed ID: 19789245)
1. Potential usefulness of similar images in the differential diagnosis of clustered microcalcifications on mammograms.
Nakayama R; Abe H; Shiraishi J; Doi K
Radiology; 2009 Dec; 253(3):625-31. PubMed ID: 19789245
[TBL] [Abstract][Full Text] [Related]
2. Breast masses: computer-aided diagnosis with serial mammograms.
Hadjiiski L; Sahiner B; Helvie MA; Chan HP; Roubidoux MA; Paramagul C; Blane C; Petrick N; Bailey J; Klein K; Foster M; Patterson SK; Adler D; Nees AV; Shen J
Radiology; 2006 Aug; 240(2):343-56. PubMed ID: 16801362
[TBL] [Abstract][Full Text] [Related]
3. Presentation of similar images as a reference for distinction between benign and malignant masses on mammograms: analysis of initial observer study.
Muramatsu C; Schmidt RA; Shiraishi J; Li Q; Doi K
J Digit Imaging; 2010 Oct; 23(5):592-602. PubMed ID: 20054606
[TBL] [Abstract][Full Text] [Related]
4. Improvement in radiologists' characterization of malignant and benign breast masses on serial mammograms with computer-aided diagnosis: an ROC study.
Hadjiiski L; Chan HP; Sahiner B; Helvie MA; Roubidoux MA; Blane C; Paramagul C; Petrick N; Bailey J; Klein K; Foster M; Patterson S; Adler D; Nees A; Shen J
Radiology; 2004 Oct; 233(1):255-65. PubMed ID: 15317954
[TBL] [Abstract][Full Text] [Related]
5. Investigation of psychophysical similarity measures for selection of similar images in the diagnosis of clustered microcalcifications on mammograms.
Muramatsu C; Li Q; Schmidt R; Shiraishi J; Doi K
Med Phys; 2008 Dec; 35(12):5695-702. PubMed ID: 19175126
[TBL] [Abstract][Full Text] [Related]
6. 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
[TBL] [Abstract][Full Text] [Related]
7. Computer-aided preoperative diagnosis of microcalcifications on mammograms.
Kouskos E; Markopoulos C; Revenas K; Koufopoulos K; Kyriakou V; Gogas J
Acta Radiol; 2003 Jan; 44(1):43-6. PubMed ID: 12630997
[TBL] [Abstract][Full Text] [Related]
8. Improved differential diagnosis of breast masses on ultrasonographic images with a computer-aided diagnosis scheme for determining histological classifications.
Kashikura Y; Nakayama R; Hizukuri A; Noro A; Nohara Y; Nakamura T; Ito M; Kimura H; Yamashita M; Hanamura N; Ogawa T
Acad Radiol; 2013 Apr; 20(4):471-7. PubMed ID: 23498989
[TBL] [Abstract][Full Text] [Related]
9. Experimental determination of subjective similarity for pairs of clustered microcalcifications on mammograms: observer study results.
Muramatsu C; Li Q; Schmidt R; Suzuki K; Shiraishi J; Newstead G; Doi K
Med Phys; 2006 Sep; 33(9):3460-8. PubMed ID: 17022242
[TBL] [Abstract][Full Text] [Related]
10. Quantitative comparison of clustered microcalcifications in for-presentation and for-processing mammograms in full-field digital mammography.
Wang J; Nishikawa RM; Yang Y
Med Phys; 2017 Jul; 44(7):3726-3738. PubMed ID: 28477395
[TBL] [Abstract][Full Text] [Related]
11. Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience.
Burnside ES; Rubin DL; Fine JP; Shachter RD; Sisney GA; Leung WK
Radiology; 2006 Sep; 240(3):666-73. PubMed ID: 16926323
[TBL] [Abstract][Full Text] [Related]
12. 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
[TBL] [Abstract][Full Text] [Related]
13. Use of artificial neural networks (computer analysis) in the diagnosis of microcalcifications on mammography.
Markopoulos C; Kouskos E; Koufopoulos K; Kyriakou V; Gogas J
Eur J Radiol; 2001 Jul; 39(1):60-5. PubMed ID: 11439232
[TBL] [Abstract][Full Text] [Related]
14. LCD versus CRT monitors for digital mammography: a comparison of observer performance for the detection of clustered microcalcifications and masses.
Cha JH; Moon WK; Cho N; Lee EH; Park JS; Jang MJ
Acta Radiol; 2009 Dec; 50(10):1104-8. PubMed ID: 19922305
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided diagnosis scheme for histological classification of clustered microcalcifications on magnification mammograms.
Nakayama R; Uchiyama Y; Watanabe R; Katsuragawa S; Namba K; Doi K
Med Phys; 2004 Apr; 31(4):789-99. PubMed ID: 15124996
[TBL] [Abstract][Full Text] [Related]
16. Detection of masses and clustered microcalcifications on data compressed mammograms: an observer performance study.
Good WF; Sumkin JH; Ganott M; Hardesty L; Holbert B; Johns CM; Klym AH
AJR Am J Roentgenol; 2000 Dec; 175(6):1573-6. PubMed ID: 11090378
[TBL] [Abstract][Full Text] [Related]
17. Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set.
Horsch K; Giger ML; Vyborny CJ; Lan L; Mendelson EB; Hendrick RE
Radiology; 2006 Aug; 240(2):357-68. PubMed ID: 16864666
[TBL] [Abstract][Full Text] [Related]
18. Breast cancer: effectiveness of computer-aided diagnosis observer study with independent database of mammograms.
Huo Z; Giger ML; Vyborny CJ; Metz CE
Radiology; 2002 Aug; 224(2):560-8. PubMed ID: 12147857
[TBL] [Abstract][Full Text] [Related]
19. Comparison of independent double readings and computer-aided diagnosis (CAD) for the diagnosis of breast calcifications.
Jiang Y; Nishikawa RM; Schmidt RA; Metz CE
Acad Radiol; 2006 Jan; 13(1):84-94. PubMed ID: 16399036
[TBL] [Abstract][Full Text] [Related]
20. Comparison of diagnostic accuracy of breast masses using digitized images versus screen-film mammography.
Liang Z; Du X; Liu J; Yao X; Yang Y; Li K
Acta Radiol; 2008 Jul; 49(6):618-22. PubMed ID: 18568552
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]