506 related articles for article (PubMed ID: 18432467)
1. A wavelet-based optimal texture feature set for classification of brain tumours.
Sasikala M; Kumaravel N
J Med Eng Technol; 2008; 32(3):198-205. PubMed ID: 18432467
[TBL] [Abstract][Full Text] [Related]
2. Wavelet feature selection for image classification.
Huang K; Aviyente S
IEEE Trans Image Process; 2008 Sep; 17(9):1709-20. PubMed ID: 18713675
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Texture analysis and classification with linear regression model based on wavelet transform.
Wang ZZ; Yong JH
IEEE Trans Image Process; 2008 Aug; 17(8):1421-30. PubMed ID: 18632350
[TBL] [Abstract][Full Text] [Related]
6. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
De Martino F; Valente G; Staeren N; Ashburner J; Goebel R; Formisano E
Neuroimage; 2008 Oct; 43(1):44-58. PubMed ID: 18672070
[TBL] [Abstract][Full Text] [Related]
7. Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
Madabhushi A; Feldman MD; Metaxas DN; Tomaszeweski J; Chute D
IEEE Trans Med Imaging; 2005 Dec; 24(12):1611-25. PubMed ID: 16350920
[TBL] [Abstract][Full Text] [Related]
8. COMPARE: classification of morphological patterns using adaptive regional elements.
Fan Y; Shen D; Gur RC; Gur RE; Davatzikos C
IEEE Trans Med Imaging; 2007 Jan; 26(1):93-105. PubMed ID: 17243588
[TBL] [Abstract][Full Text] [Related]
9. Extraction of shift invariant wavelet features for classification of images with different sizes.
Pun CM; Lee MC
IEEE Trans Pattern Anal Mach Intell; 2004 Sep; 26(9):1228-33. PubMed ID: 15742897
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Low dimensional adaptive texture feature vectors from class distance and class difference matrices.
Nielsen B; Albregtsen F; Danielsen HE
IEEE Trans Med Imaging; 2004 Jan; 23(1):73-84. PubMed ID: 14719689
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Volumetric texture segmentation by discriminant feature selection and multiresolution classification.
Reyes Aldasoro CC; Bhalerao A
IEEE Trans Med Imaging; 2007 Jan; 26(1):1-14. PubMed ID: 17243580
[TBL] [Abstract][Full Text] [Related]
14. Iris recognition based on key image feature extraction.
Ren X; Tian Q; Zhang J; Wu S; Zeng Y
J Med Eng Technol; 2008; 32(3):228-34. PubMed ID: 18432471
[TBL] [Abstract][Full Text] [Related]
15. Natural image statistics and low-complexity feature selection.
Vasconcelos M; Vasconcelos N
IEEE Trans Pattern Anal Mach Intell; 2009 Feb; 31(2):228-44. PubMed ID: 19110490
[TBL] [Abstract][Full Text] [Related]
16. Combination of feature-reduced MR spectroscopic and MR imaging data for improved brain tumor classification.
Simonetti AW; Melssen WJ; Szabo de Edelenyi F; van Asten JJ; Heerschap A; Buydens LM
NMR Biomed; 2005 Feb; 18(1):34-43. PubMed ID: 15657908
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. General tensor discriminant analysis and gabor features for gait recognition.
Tao D; Li X; Wu X; Maybank SJ
IEEE Trans Pattern Anal Mach Intell; 2007 Oct; 29(10):1700-15. PubMed ID: 17699917
[TBL] [Abstract][Full Text] [Related]
19. Segmenting brain tumors using pseudo-conditional random fields.
Lee CH; Wang S; Murtha A; Brown MR; Greiner R
Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):359-66. PubMed ID: 18979767
[TBL] [Abstract][Full Text] [Related]
20. Classification-based probabilistic modeling of texture transition for fast line search tracking and delineation.
Shahrokni A; Drummond T; Fleuret F; Fua P
IEEE Trans Pattern Anal Mach Intell; 2009 Mar; 31(3):570-6. PubMed ID: 19147883
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
