249 related articles for article (PubMed ID: 17579160)
1. Computer-aided diagnosis of hepatic fibrosis: preliminary evaluation of MRI texture analysis using the finite difference method and an artificial neural network.
Kato H; Kanematsu M; Zhang X; Saio M; Kondo H; Goshima S; Fujita H
AJR Am J Roentgenol; 2007 Jul; 189(1):117-22. PubMed ID: 17579160
[TBL] [Abstract][Full Text] [Related]
2. Differentiation of common large sellar-suprasellar masses effect of artificial neural network on radiologists' diagnosis performance.
Kitajima M; Hirai T; Katsuragawa S; Okuda T; Fukuoka H; Sasao A; Akter M; Awai K; Nakayama Y; Ikeda R; Yamashita Y; Yano S; Kuratsu J; Doi K
Acad Radiol; 2009 Mar; 16(3):313-20. PubMed ID: 19201360
[TBL] [Abstract][Full Text] [Related]
3. Effective staging of fibrosis by the selected texture features of liver: Which one is better, CT or MR imaging?
Zhang X; Gao X; Liu BJ; Ma K; Yan W; Liling L; Yuhong H; Fujita H
Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():227-36. PubMed ID: 26455963
[TBL] [Abstract][Full Text] [Related]
4. Small hyperintense hepatic lesions on T1-weighted images in patients with cirrhosis: evaluation with serial MRI and imaging features for clinical benignity.
Shimizu A; Ito K; Sasaki K; Hayashida M; Tanabe M; Shimizu K; Matsunaga N
Magn Reson Imaging; 2007 Dec; 25(10):1430-6. PubMed ID: 17524587
[TBL] [Abstract][Full Text] [Related]
5. Texture analysis for tissue discrimination on T1-weighted MR images of the knee joint in a multicenter study: Transferability of texture features and comparison of feature selection methods and classifiers.
Mayerhoefer ME; Breitenseher MJ; Kramer J; Aigner N; Hofmann S; Materka A
J Magn Reson Imaging; 2005 Nov; 22(5):674-80. PubMed ID: 16215966
[TBL] [Abstract][Full Text] [Related]
6. Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft-tissue tumors in T1-MRI images.
Juntu J; Sijbers J; De Backer S; Rajan J; Van Dyck D
J Magn Reson Imaging; 2010 Mar; 31(3):680-9. PubMed ID: 20187212
[TBL] [Abstract][Full Text] [Related]
7. Esophageal varices: diagnosis with gadolinium-enhanced MR imaging of the liver for patients with chronic liver damage.
Matsuo M; Kanematsu M; Kim T; Hori M; Takamura M; Murakami T; Kondo H; Moriyama N; Nakamura H; Hoshi H
AJR Am J Roentgenol; 2003 Feb; 180(2):461-6. PubMed ID: 12540452
[TBL] [Abstract][Full Text] [Related]
8. Preoperative T staging of urinary bladder cancer: does diffusion-weighted MRI have supplementary value?
Watanabe H; Kanematsu M; Kondo H; Goshima S; Tsuge Y; Onozuka M; Moriyama N
AJR Am J Roentgenol; 2009 May; 192(5):1361-6. PubMed ID: 19380561
[TBL] [Abstract][Full Text] [Related]
9. Computer-aided diagnosis of soft-tissue tumors using sonographic morphologic and texture features.
Chen CY; Chiou HJ; Chou SY; Chiou SY; Wang HK; Chou YH; Chiang HK
Acad Radiol; 2009 Dec; 16(12):1531-8. PubMed ID: 19896070
[TBL] [Abstract][Full Text] [Related]
10. Diffusion-weighted MRI for quantification of liver fibrosis: preliminary experience.
Taouli B; Tolia AJ; Losada M; Babb JS; Chan ES; Bannan MA; Tobias H
AJR Am J Roentgenol; 2007 Oct; 189(4):799-806. PubMed ID: 17885048
[TBL] [Abstract][Full Text] [Related]
11. A computer-aided diagnostic system to discriminate SPIO-enhanced magnetic resonance hepatocellular carcinoma by a neural network classifier.
Guo D; Qiu T; Bian J; Kang W; Zhang L
Comput Med Imaging Graph; 2009 Dec; 33(8):588-92. PubMed ID: 19656655
[TBL] [Abstract][Full Text] [Related]
12. Are signal intensity and homogeneity useful parameters for distinguishing between benign and malignant soft tissue masses on MR images? Objective evaluation by means of texture analysis.
Mayerhoefer ME; Breitenseher M; Amann G; Dominkus M
Magn Reson Imaging; 2008 Nov; 26(9):1316-22. PubMed ID: 18448302
[TBL] [Abstract][Full Text] [Related]
13. Clinical implication of small (<20 mm) enhancing hepatic nodules observed only during three-dimensional gadobenate dimeglumine-enhanced hepatic arterial-phase MRI of the hepatitis B virus-induced mild cirrhosis.
Kim YK; Lee YH; Kwak HS; Kim CS; Han YM
Clin Imaging; 2008; 32(6):453-9. PubMed ID: 19006774
[TBL] [Abstract][Full Text] [Related]
14. Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contrast-enhanced magnetic resonance breast image data.
Woods BJ; Clymer BD; Kurc T; Heverhagen JT; Stevens R; Orsdemir A; Bulan O; Knopp MV
J Magn Reson Imaging; 2007 Mar; 25(3):495-501. PubMed ID: 17279534
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided evaluation method of white matter hyperintensities related to subcortical vascular dementia based on magnetic resonance imaging.
Kawata Y; Arimura H; Yamashita Y; Magome T; Ohki M; Toyofuku F; Higashida Y; Tsuchiya K
Comput Med Imaging Graph; 2010 Jul; 34(5):370-6. PubMed ID: 20116974
[TBL] [Abstract][Full Text] [Related]
16. Effects of magnetic resonance image interpolation on the results of texture-based pattern classification: a phantom study.
Mayerhoefer ME; Szomolanyi P; Jirak D; Berg A; Materka A; Dirisamer A; Trattnig S
Invest Radiol; 2009 Jul; 44(7):405-11. PubMed ID: 19465863
[TBL] [Abstract][Full Text] [Related]
17. Hepatic iron deposition in patients with liver disease: preliminary experience with breath-hold multiecho T2*-weighted sequence.
Chandarana H; Lim RP; Jensen JH; Hajdu CH; Losada M; Babb JS; Huffman S; Taouli B
AJR Am J Roentgenol; 2009 Nov; 193(5):1261-7. PubMed ID: 19843739
[TBL] [Abstract][Full Text] [Related]
18. [Hepatic and hepatocarcinoma magnetic resonance: comparison of the results obtained with paramagnetic (gadolinium) and superparamagnetic (iron oxide particles) contrast media].
Castoldi MC; Fauda V; Scaramuzza D; Vergnaghi D
Radiol Med; 2000 Sep; 100(3):160-7. PubMed ID: 11148882
[TBL] [Abstract][Full Text] [Related]
19. Application of texture analysis on parametric T
Yu H; Touret AS; Li B; O'Brien M; Qureshi MM; Soto JA; Jara H; Anderson SW
J Magn Reson Imaging; 2017 Jan; 45(1):250-259. PubMed ID: 27249625
[TBL] [Abstract][Full Text] [Related]
20. Computer-assisted automatic localization of the human pedunculopontine nucleus in T1-weighted MR images: a preliminary study.
Fu Y; Gao W; Zhu M; Chen X; Lin Z; Wang S
Int J Med Robot; 2009 Sep; 5(3):309-18. PubMed ID: 19449308
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
