-
2
-
-
84875732198
-
Segmentation d'images céré brales: Etat de l'art
-
INRIA 6306 September
-
Lecoeur, J., Barillot, C.: Segmentation d'images céré brales: Etat de l'art. Rapport de Recherche INRIA 6306 (September 2007)
-
(2007)
Rapport de Recherche
-
-
Lecoeur, J.1
Barillot, C.2
-
3
-
-
15844410580
-
Segmentation and Quantification of Brain Tumor
-
Jiang, C., Zhang, X., Huang, W., Meinel, C.: Segmentation and Quantification of Brain Tumor. In: IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems, pp. 12-14 (2004)
-
(2004)
IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems
, pp. 12-14
-
-
Jiang, C.1
Zhang, X.2
Huang, W.3
Meinel, C.4
-
4
-
-
0347252327
-
Automatic brain tumor segmentation by subject specific modification of atlas priors
-
Prastawa, M., Bullitt, E., Moon, N.: Automatic brain tumor segmentation by subject specific modification of atlas priors. Acad. Radiol. 10(12), 1341-1348 (2003)
-
(2003)
Acad. Radiol
, vol.10
, Issue.12
, pp. 1341-1348
-
-
Prastawa, M.1
Bullitt, E.2
Moon, N.3
-
5
-
-
33646706434
-
-
University of Alberta, Department of computing science
-
Schmidt, M.: Automatic brain tumor segmentation. University of Alberta, Department of computing science (2005)
-
(2005)
Automatic brain tumor segmentation
-
-
Schmidt, M.1
-
7
-
-
0031064485
-
Using neural networks to automatically detect brain tumours in MR images
-
Dickson, S., Thomas, B.: Using neural networks to automatically detect brain tumours in MR images. International Journal of Neural Systems 4(1), 91-99 (1997)
-
(1997)
International Journal of Neural Systems
, vol.4
, Issue.1
, pp. 91-99
-
-
Dickson, S.1
Thomas, B.2
-
8
-
-
0035140334
-
Automated segmentation of MR images of brain tumors
-
Kaus, M., Warfield, S., Nabavi, A., Black, P., Jolesz, F., Kikinis, R.: Automated segmentation of MR images of brain tumors. Radiology 218(2), 586-591 (2001)
-
(2001)
Radiology
, vol.218
, Issue.2
, pp. 586-591
-
-
Kaus, M.1
Warfield, S.2
Nabavi, A.3
Black, P.4
Jolesz, F.5
Kikinis, R.6
-
9
-
-
4444333897
-
Brain tumor segmentation framework based on outlier detection
-
Prastawa, M., Bullitt, E., Ho, S., Gerig, G.: Brain tumor segmentation framework based on outlier detection. Medical Image Analysis 8(3), 275-283 (2004)
-
(2004)
Medical Image Analysis
, vol.8
, Issue.3
, pp. 275-283
-
-
Prastawa, M.1
Bullitt, E.2
Ho, S.3
Gerig, G.4
-
10
-
-
0003425664
-
Support vector machine for classification and regression
-
Science and Mathematics School of Electronics and Computer Science
-
Gunn, S.R.: Support vector machine for classification and regression. Technical report Faculty of Engineering, Science and Mathematics School of Electronics and Computer Science (1998)
-
(1998)
Technical report Faculty of Engineering
-
-
Gunn, S.R.1
-
11
-
-
0007367697
-
Texture analysis methods: A review
-
B11 Technical University of Lodz Poland
-
Materka, A., Strzelecki, M.: Texture analysis methods: a review. Technical report COST B11 Technical University of Lodz Poland (1998)
-
(1998)
Technical report COST
-
-
Materka, A.1
Strzelecki, M.2
-
12
-
-
0032034227
-
Automatic tumor segmentation using knowledge based techniques
-
Clark, M.C., Hall, L.O., Goldgof, D.B., Velthuizen, R., Murtagh, F.R., Silbiger, M.S.: Automatic tumor segmentation using knowledge based techniques. IEEE Trans. on Medical Imaging 17(2), 238-251 (1998)
-
(1998)
IEEE Trans. on Medical Imaging
, vol.17
, Issue.2
, pp. 238-251
-
-
Clark, M.C.1
Hall, L.O.2
Goldgof, D.B.3
Velthuizen, R.4
Murtagh, F.R.5
Silbiger, M.S.6
-
14
-
-
35048901041
-
-
Hayman, E., Caputo, E., Fritz, M., Eklundh, J.: On the significance of real-world conditions for material classification. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, 3024, pp. 253-266. Springer, Heidelberg (2004)
-
Hayman, E., Caputo, E., Fritz, M., Eklundh, J.: On the significance of real-world conditions for material classification. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3024, pp. 253-266. Springer, Heidelberg (2004)
-
-
-
-
15
-
-
0015680481
-
Textural features for image classification
-
Haralick, R., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. on Systems Man and Cybern 3(6), 610-621 (1973)
-
(1973)
IEEE Trans. on Systems Man and Cybern
, vol.3
, Issue.6
, pp. 610-621
-
-
Haralick, R.1
Shanmugam, K.2
Dinstein, I.3
-
16
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
ACM Press, New York
-
Boser, B.E., Guyon, I., Vapnik, V.: A training algorithm for optimal margin classifiers. In: Proceedings of the Fifth Annual Workshop on Computational Learning Theory, pp. 144-152. ACM Press, New York (1992)
-
(1992)
Proceedings of the Fifth Annual Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.2
Vapnik, V.3
-
17
-
-
33751424502
-
Computer aided diagnosis based on medical image processing and artificial intelligence methods
-
Stoitsis, J., et al.: Computer aided diagnosis based on medical image processing and artificial intelligence methods. Nuclear Instruments and Methods in Physics Research 569(2), 591-595 (2006)
-
(2006)
Nuclear Instruments and Methods in Physics Research
, vol.569
, Issue.2
, pp. 591-595
-
-
Stoitsis, J.1
-
19
-
-
0000403654
-
An mri-based stereotactic atlas from 250 young normal subjects
-
Evans, A., et al.: An mri-based stereotactic atlas from 250 young normal subjects. Society for Neuroscience Abstracts 18, 408 (1992)
-
(1992)
Society for Neuroscience Abstracts
, vol.18
, pp. 408
-
-
Evans, A.1
-
20
-
-
0003408420
-
-
MIT Press, Cambridge
-
Scholkopf, B., Smola, A.J.: Learning with Kernels Support Vector Machines, Regularization, Optimization and Beyond. MIT Press, Cambridge (2001)
-
(2001)
Learning with Kernels Support Vector Machines, Regularization, Optimization and Beyond
-
-
Scholkopf, B.1
Smola, A.J.2
-
21
-
-
0036721272
-
Comparison of machine learning and traditional classifers in glaucoma diagnosis
-
Chan, K., Lee, T.W., Sample, P.A., Goldbaum, M., Weinreb, R.N.: Comparison of machine learning and traditional classifers in glaucoma diagnosis. IEEE Trans. on Biomedical Engineering 49(9), 963-974 (2002)
-
(2002)
IEEE Trans. on Biomedical Engineering
, vol.49
, Issue.9
, pp. 963-974
-
-
Chan, K.1
Lee, T.W.2
Sample, P.A.3
Goldbaum, M.4
Weinreb, R.N.5
|