278 related articles for article (PubMed ID: 24057004)
1. 3D lacunarity in multifractal analysis of breast tumor lesions in dynamic contrast-enhanced magnetic resonance imaging.
Soares F; Janela F; Pereira M; Seabra J; Freire MM
IEEE Trans Image Process; 2013 Nov; 22(11):4422-35. PubMed ID: 24057004
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Malignant spiculated breast masses: dynamic contrast enhanced MR (DCE-MR) imaging enhancement characteristics and histopathological correlation.
Gokalp G; Topal U; Yildirim N; Tolunay S
Eur J Radiol; 2012 Feb; 81(2):203-8. PubMed ID: 21236612
[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. Classification of breast mass lesions using model-based analysis of the characteristic kinetic curve derived from fuzzy c-means clustering.
Chang YC; Huang YH; Huang CS; Chang PK; Chen JH; Chang RF
Magn Reson Imaging; 2012 Apr; 30(3):312-22. PubMed ID: 22245697
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Computerized breast lesions detection using kinetic and morphologic analysis for dynamic contrast-enhanced MRI.
Chang YC; Huang YH; Huang CS; Chen JH; Chang RF
Magn Reson Imaging; 2014 Jun; 32(5):514-22. PubMed ID: 24582545
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Application of classification trees for the qualitative differentiation of focal liver lesions suspicious for metastasis in gadolinium-EOB-DTPA-enhanced liver MR imaging.
Schelhorn J; Benndorf M; Dietzel M; Burmeister HP; Kaiser WA; Baltzer PA
Rofo; 2012 Sep; 184(9):788-94. PubMed ID: 22618476
[TBL] [Abstract][Full Text] [Related]
10. [Self-organizing neural networks for automatic detection and classification of contrast (media) enhancement of lesions in dynamic MR-mammography].
Vomweg TW; Teifke A; Kauczor HU; Achenbach T; Rieker O; Schreiber WG; Heitmann KR; Beier T; Thelen M
Rofo; 2005 May; 177(5):703-13. PubMed ID: 15871086
[TBL] [Abstract][Full Text] [Related]
11. Enhanced mass on contrast-enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.
Yabuuchi H; Matsuo Y; Okafuji T; Kamitani T; Soeda H; Setoguchi T; Sakai S; Hatakenaka M; Kubo M; Sadanaga N; Yamamoto H; Honda H
J Magn Reson Imaging; 2008 Nov; 28(5):1157-65. PubMed ID: 18972357
[TBL] [Abstract][Full Text] [Related]
12. Fractal and multifractal analysis: a review.
Lopes R; Betrouni N
Med Image Anal; 2009 Aug; 13(4):634-49. PubMed ID: 19535282
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Assessment of dynamic contrast-enhanced magnetic resonance imaging in the differentiation of malignant from benign orbital masses.
Yuan Y; Kuai XP; Chen XS; Tao XF
Eur J Radiol; 2013 Sep; 82(9):1506-11. PubMed ID: 23561057
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Classification of dynamic contrast-enhanced magnetic resonance breast lesions by support vector machines.
Levman J; Leung T; Causer P; Plewes D; Martel AL
IEEE Trans Med Imaging; 2008 May; 27(5):688-96. PubMed ID: 18450541
[TBL] [Abstract][Full Text] [Related]
18. Clinical MR-mammography: are computer-assisted methods superior to visual or manual measurements for curve type analysis? A systematic approach.
Baltzer PA; Freiberg C; Beger S; Vag T; Dietzel M; Herzog AB; Gajda M; Camara O; Kaiser WA
Acad Radiol; 2009 Sep; 16(9):1070-6. PubMed ID: 19523854
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of breast cancer chemotherapy efficacy with multifractal spectrum analysis of magnetic resonance image.
Li L; Hu WY; Liu LZ; Pang YC; Shao YZ
Biomed Mater Eng; 2014; 24(1):163-71. PubMed ID: 24211895
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study.
Shimauchi A; Giger ML; Bhooshan N; Lan L; Pesce LL; Lee JK; Abe H; Newstead GM
Radiology; 2011 Mar; 258(3):696-704. PubMed ID: 21212365
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]