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Results: 1-13 |
Results: 13
Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery
Authors: Yu, SX De Backer, S Scheunders, P
Citation: Sx. Yu et al., Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery, PATT REC L, 23(1-3), 2002, pp. 183-190
Fusion and merging of multispectral images with use of multiscale fundamental forms
Authors: Scheunders, P De Backer, S
Citation: P. Scheunders et S. De Backer, Fusion and merging of multispectral images with use of multiscale fundamental forms, J OPT SOC A, 18(10), 2001, pp. 2468-2477
Texture segmentation by frequency-sensitive elliptical competitive learning
Authors: De Backer, S Scheunders, P
Citation: S. De Backer et P. Scheunders, Texture segmentation by frequency-sensitive elliptical competitive learning, IMAGE VIS C, 19(9-10), 2001, pp. 639-648
Local mapping for multispectral image visualization
Authors: Scheunders, P
Citation: P. Scheunders, Local mapping for multispectral image visualization, IMAGE VIS C, 19(13), 2001, pp. 971-978
Validation of nuclear texture, density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma
Authors: Weyn, B Tjalma, W Van de Wouwer, G Van Daele, A Scheunders, P Jacob, W Van Marck, E
Citation: B. Weyn et al., Validation of nuclear texture, density, morphometry and tissue syntactic structure analysis as prognosticators of cervical carcinoma, ANAL QUAN C, 22(5), 2000, pp. 373-382
Wavelets as chromatin texture descriptors for the automated identificationof neoplastic nuclei
Authors: Van de Wouwer, G Weyn, B Scheunders, P Jacob, W Van Marck, E Van Dyck, D
Citation: G. Van De Wouwer et al., Wavelets as chromatin texture descriptors for the automated identificationof neoplastic nuclei, J MICROSC O, 197, 2000, pp. 25-35
Wavelet-based texture classification
Authors: Van de Wouwer, G Scheunders, P
Citation: G. Van De Wouwer et P. Scheunders, Wavelet-based texture classification, RRD PATTERN, 1, 2000, pp. 77-87
Statistical texture characterization from discrete wavelet representations
Authors: Van de Wouwer, G Scheunders, P Van Dyck, D
Citation: G. Van De Wouwer et al., Statistical texture characterization from discrete wavelet representations, IEEE IM PR, 8(4), 1999, pp. 592-598
Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic structure analysis
Authors: Weyn, B van de Wouwer, G Kumar-Singh, S van Daele, A Scheunders, P van Marck, E Jacob, W
Citation: B. Weyn et al., Computer-assisted differential diagnosis of malignant mesothelioma based on syntactic structure analysis, CYTOMETRY, 35(1), 1999, pp. 23-29
A competitive elliptical clustering algorithm
Authors: De Backer, S Scheunders, P
Citation: S. De Backer et P. Scheunders, A competitive elliptical clustering algorithm, PATT REC L, 20(11-13), 1999, pp. 1141-1147
Wavelet correlation signatures for color texture characterization
Authors: Van de Wouwer, G Scheunders, P Livens, S Van Dyck, D
Citation: G. Van De Wouwer et al., Wavelet correlation signatures for color texture characterization, PATT RECOG, 32(3), 1999, pp. 443-451
High-dimensional clustering using frequency sensitive competitive learning
Authors: Scheunders, P De Backer, S
Citation: P. Scheunders et S. De Backer, High-dimensional clustering using frequency sensitive competitive learning, PATT RECOG, 32(2), 1999, pp. 193-202
Value of morphometry, texture analysis, densitometry, and histometry in the differential diagnosis and prognosis of malignant mesothelioma
Authors: Weyn, B Van de Wouwer, G Koprowski, M Van Daele, A Dhaene, K Scheunders, P Jacob, W Van Marck, E
Citation: B. Weyn et al., Value of morphometry, texture analysis, densitometry, and histometry in the differential diagnosis and prognosis of malignant mesothelioma, J PATHOLOGY, 189(4), 1999, pp. 581-589
Risultati: 1-13 |