247 related articles for article (PubMed ID: 20692620)
1. Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.
Yuan Y; Giger ML; Li H; Bhooshan N; Sennett CA
Acad Radiol; 2010 Sep; 17(9):1158-67. PubMed ID: 20692620
[TBL] [Abstract][Full Text] [Related]
2. Combined use of T2-weighted MRI and T1-weighted dynamic contrast-enhanced MRI in the automated analysis of breast lesions.
Bhooshan N; Giger M; Lan L; Li H; Marquez A; Shimauchi A; Newstead GM
Magn Reson Med; 2011 Aug; 66(2):555-64. PubMed ID: 21523818
[TBL] [Abstract][Full Text] [Related]
3. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
Chen W; Giger ML; Bick U; Newstead GM
Med Phys; 2006 Aug; 33(8):2878-87. PubMed ID: 16964864
[TBL] [Abstract][Full Text] [Related]
4. Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.
Lee SH; Kim JH; Cho N; Park JS; Yang Z; Jung YS; Moon WK
Med Phys; 2010 Aug; 37(8):3940-56. PubMed ID: 20879557
[TBL] [Abstract][Full Text] [Related]
5. Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions.
Bhooshan N; Giger M; Medved M; Li H; Wood A; Yuan Y; Lan L; Marquez A; Karczmar G; Newstead G
J Magn Reson Imaging; 2014 Jan; 39(1):59-67. PubMed ID: 24023011
[TBL] [Abstract][Full Text] [Related]
6. Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics.
Chen W; Giger ML; Lan L; Bick U
Med Phys; 2004 May; 31(5):1076-82. PubMed ID: 15191295
[TBL] [Abstract][Full Text] [Related]
7. A computerized global MR image feature analysis scheme to assist diagnosis of breast cancer: a preliminary assessment.
Yang Q; Li L; Zhang J; Shao G; Zheng B
Eur J Radiol; 2014 Jul; 83(7):1086-1091. PubMed ID: 24743001
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.
Li H; Giger ML; Yuan Y; Chen W; Horsch K; Lan L; Jamieson AR; Sennett CA; Jansen SA
Acad Radiol; 2008 Nov; 15(11):1437-45. PubMed ID: 18995194
[TBL] [Abstract][Full Text] [Related]
9. Computerized assessment of breast lesion malignancy using DCE-MRI robustness study on two independent clinical datasets from two manufacturers.
Chen W; Giger ML; Newstead GM; Bick U; Jansen SA; Li H; Lan L
Acad Radiol; 2010 Jul; 17(7):822-9. PubMed ID: 20540907
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided diagnosis for dynamic contrast-enhanced breast MRI of mass-like lesions using a multiparametric model combining a selection of morphological, kinetic, and spatiotemporal features.
Agliozzo S; De Luca M; Bracco C; Vignati A; Giannini V; Martincich L; Carbonaro LA; Bert A; Sardanelli F; Regge D
Med Phys; 2012 Apr; 39(4):1704-15. PubMed ID: 22482596
[TBL] [Abstract][Full Text] [Related]
11. Multimodality computerized diagnosis of breast lesions using mammography and sonography.
Drukker K; Horsch K; Giger ML
Acad Radiol; 2005 Aug; 12(8):970-9. PubMed ID: 16087091
[TBL] [Abstract][Full Text] [Related]
12. Computer-aided diagnosis of breast DCE-MRI images using bilateral asymmetry of contrast enhancement between two breasts.
Yang Q; Li L; Zhang J; Shao G; Zhang C; Zheng B
J Digit Imaging; 2014 Feb; 27(1):152-60. PubMed ID: 24043592
[TBL] [Abstract][Full Text] [Related]
13. Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI.
Nie K; Chen JH; Yu HJ; Chu Y; Nalcioglu O; Su MY
Acad Radiol; 2008 Dec; 15(12):1513-25. PubMed ID: 19000868
[TBL] [Abstract][Full Text] [Related]
14. Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.
Agner SC; Soman S; Libfeld E; McDonald M; Thomas K; Englander S; Rosen MA; Chin D; Nosher J; Madabhushi A
J Digit Imaging; 2011 Jun; 24(3):446-63. PubMed ID: 20508965
[TBL] [Abstract][Full Text] [Related]
15. Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions.
Milenković J; Hertl K; Košir A; Zibert J; Tasič JF
Artif Intell Med; 2013 Jun; 58(2):101-14. PubMed ID: 23548472
[TBL] [Abstract][Full Text] [Related]
16. A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolution.
Dalmış MU; Gubern-Mérida A; Vreemann S; Karssemeijer N; Mann R; Platel B
Med Phys; 2016 Jan; 43(1):84. PubMed ID: 26745902
[TBL] [Abstract][Full Text] [Related]
17. Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.
Mendel K; Li H; Sheth D; Giger M
Acad Radiol; 2019 Jun; 26(6):735-743. PubMed ID: 30076083
[TBL] [Abstract][Full Text] [Related]
18. Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement.
Newell D; Nie K; Chen JH; Hsu CC; Yu HJ; Nalcioglu O; Su MY
Eur Radiol; 2010 Apr; 20(4):771-81. PubMed ID: 19789878
[TBL] [Abstract][Full Text] [Related]
19. Computer-aided diagnosis of breast DCE-MRI using pharmacokinetic model and 3-D morphology analysis.
Wang TC; Huang YH; Huang CS; Chen JH; Huang GY; Chang YC; Chang RF
Magn Reson Imaging; 2014 Apr; 32(3):197-205. PubMed ID: 24439361
[TBL] [Abstract][Full Text] [Related]
20. Fully Automated Quantitative Estimation of Volumetric Breast Density from Digital Breast Tomosynthesis Images: Preliminary Results and Comparison with Digital Mammography and MR Imaging.
Pertuz S; McDonald ES; Weinstein SP; Conant EF; Kontos D
Radiology; 2016 Apr; 279(1):65-74. PubMed ID: 26491909
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
