183 related articles for article (PubMed ID: 12147857)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. Improvement of radiologists' characterization of mammographic masses by using computer-aided diagnosis: an ROC study.
Chan HP; Sahiner B; Helvie MA; Petrick N; Roubidoux MA; Wilson TE; Adler DD; Paramagul C; Newman JS; Sanjay-Gopal S
Radiology; 1999 Sep; 212(3):817-27. PubMed ID: 10478252
[TBL] [Abstract][Full Text] [Related]
7. Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography.
Horsch K; Giger ML; Vyborny CJ; Venta LA
Acad Radiol; 2004 Mar; 11(3):272-80. PubMed ID: 15035517
[TBL] [Abstract][Full Text] [Related]
8. Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy.
Sahiner B; Chan HP; Roubidoux MA; Hadjiiski LM; Helvie MA; Paramagul C; Bailey J; Nees AV; Blane C
Radiology; 2007 Mar; 242(3):716-24. PubMed ID: 17244717
[TBL] [Abstract][Full Text] [Related]
9. Potential of computer-aided diagnosis to reduce variability in radiologists' interpretations of mammograms depicting microcalcifications.
Jiang Y; Nishikawa RM; Schmidt RA; Toledano AY; Doi K
Radiology; 2001 Sep; 220(3):787-94. PubMed ID: 11526283
[TBL] [Abstract][Full Text] [Related]
10. Observer study of a prototype clinical decision support system for breast cancer diagnosis using dynamic contrast-enhanced MRI.
Boroczky L; Simpson M; Abe H; Drysdale J
AJR Am J Roentgenol; 2013 Feb; 200(2):277-83. PubMed ID: 23345346
[TBL] [Abstract][Full Text] [Related]
11. Multi-modality CADx: ROC study of the effect on radiologists' accuracy in characterizing breast masses on mammograms and 3D ultrasound images.
Sahiner B; Chan HP; Hadjiiski LM; Roubidoux MA; Paramagul C; Bailey JE; Nees AV; Blane CE; Adler DD; Patterson SK; Klein KA; Pinsky RW; Helvie MA
Acad Radiol; 2009 Jul; 16(7):810-8. PubMed ID: 19375953
[TBL] [Abstract][Full Text] [Related]
12. Computer-aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions.
Timp S; Varela C; Karssemeijer N
IEEE Trans Inf Technol Biomed; 2010 May; 14(3):803-8. PubMed ID: 20403792
[TBL] [Abstract][Full Text] [Related]
13. Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy.
Li F; Aoyama M; Shiraishi J; Abe H; Li Q; Suzuki K; Engelmann R; Sone S; Macmahon H; Doi K
AJR Am J Roentgenol; 2004 Nov; 183(5):1209-15. PubMed ID: 15505279
[TBL] [Abstract][Full Text] [Related]
14. Use of prior mammograms in the classification of benign and malignant masses.
Varela C; Karssemeijer N; Hendriks JH; Holland R
Eur J Radiol; 2005 Nov; 56(2):248-55. PubMed ID: 15890483
[TBL] [Abstract][Full Text] [Related]
15. Improving breast cancer diagnosis with computer-aided diagnosis.
Jiang Y; Nishikawa RM; Schmidt RA; Metz CE; Giger ML; Doi K
Acad Radiol; 1999 Jan; 6(1):22-33. PubMed ID: 9891149
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 1000-Case Reader Study of Radiologists' Performance in Interpretation of Automated Breast Volume Scanner Images with a Computer-Aided Detection System.
Xu X; Bao L; Tan Y; Zhu L; Kong F; Wang W
Ultrasound Med Biol; 2018 Aug; 44(8):1694-1702. PubMed ID: 29853222
[TBL] [Abstract][Full Text] [Related]
18. Automated computerized classification of malignant and benign masses on digitized mammograms.
Huo Z; Giger ML; Vyborny CJ; Wolverton DE; Schmidt RA; Doi K
Acad Radiol; 1998 Mar; 5(3):155-68. PubMed ID: 9522881
[TBL] [Abstract][Full Text] [Related]
19. Computer-aided diagnosis to distinguish benign from malignant solitary pulmonary nodules on radiographs: ROC analysis of radiologists' performance--initial experience.
Shiraishi J; Abe H; Engelmann R; Aoyama M; MacMahon H; Doi K
Radiology; 2003 May; 227(2):469-74. PubMed ID: 12732700
[TBL] [Abstract][Full Text] [Related]
20. An observer study for a computer-aided reading protocol (CARP) in the screening environment for digital mammography.
Moin P; Deshpande R; Sayre J; Messer E; Gupte S; Romsdahl H; Hasegawa A; Liu BJ
Acad Radiol; 2011 Nov; 18(11):1420-9. PubMed ID: 21971259
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
