-
1
-
-
77950245872
-
Improved automatic detection and segmentation of cell nuclei in histopathology images
-
Al-Kofahi, Y., Lassoued, W., Lee, W., Roysam, B.: Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images. IEEE Trans. on Biomedcial Engineering 57(4), 841-852 (2010)
-
(2010)
IEEE Trans. on Biomedcial Engineering
, vol.57
, Issue.4
, pp. 841-852
-
-
Al-Kofahi, Y.1
Lassoued, W.2
Lee, W.3
Roysam, B.4
-
3
-
-
0003802343
-
-
Chapman & Hall Boca Raton
-
Breiman, L., Friedman, J., Stone, C.J., Olshen, R.A.: Classification and Regression Trees. Chapman & Hall, Boca Raton (1993)
-
(1993)
Classification and Regression Trees.
-
-
Breiman, L.1
Friedman, J.2
Stone, C.J.3
Olshen, R.A.4
-
4
-
-
84890491526
-
Automatic segmentation of overlapping nuclei with high background variation using robust estimation and flexible contour models
-
Clocksin, W.F.: Automatic segmentation of overlapping nuclei with high background variation using robust estimation and flexible contour models. In: Proc. 12th Int. Conf. Image Analysis and Processing (ICIAP 2003), pp. 682-687 (2003)
-
(2003)
Proc. 12th Int. Conf. Image Analysis and Processing (ICIAP 2003)
, pp. 682-687
-
-
Clocksin, W.F.1
-
5
-
-
77957935090
-
Segmentation of overlapping/aggregating nuclei cells in biological images
-
IEEE, Los Alamitos
-
Cloppet, F., Boucher, A.: Segmentation of overlapping/aggregating nuclei cells in biological images. In: Proc. ICPR, pp. 1-4. IEEE, Los Alamitos (2008)
-
(2008)
Proc. ICPR
, pp. 1-4
-
-
Cloppet, F.1
Boucher, A.2
-
6
-
-
80052834690
-
Feature selection for breast cancer malignancy classification problem
-
Filipczuk, P., Kowal, M., Marciniak, A.: Feature selection for breast cancer malignancy classification problem. J. Medical Informatics & Technologies (15), 193-199 (2010)
-
(2010)
J. Medical Informatics & Technologies
, vol.15
, pp. 193-199
-
-
Filipczuk, P.1
Kowal, M.2
Marciniak, A.3
-
8
-
-
45849154219
-
Segmentation of breast cancer fine needle biopsy cytological images
-
Hrebień, M., Steć, P., Obuchowicz, A., Nieczkowski, T.: Segmentation of breast cancer fine needle biopsy cytological images. Int. J. Appl.Math and Comp. Sci. 18(2), 159-170 (2008)
-
(2008)
Int. J. Appl.Math and Comp. Sci.
, vol.18
, Issue.2
, pp. 159-170
-
-
Hrebień, M.1
Steć, P.2
Obuchowicz, A.3
Nieczkowski, T.4
-
9
-
-
41249086260
-
Classification of breast cancer malignancy using cytological images of fine needle aspiration biopsies
-
Jeleń, Ł., Fevens, T., Krzyżak, A.: Classification of breast cancer malignancy using cytological images of fine needle aspiration biopsies. Int. J. Appl. Math. and Comp. Sci. 18(1), 75-83 (2008)
-
(2008)
Int. J. Appl. Math. and Comp. Sci.
, vol.18
, Issue.1
, pp. 75-83
-
-
Jeleń, L.1
Fevens, T.2
Krzyzak, A.3
-
10
-
-
74049099470
-
Segmentation of breast cancer fine needle biopsy cytological images using fuzzy clustering
-
Kornacki, J., Raï, Z., Wierzchoï, S., Kacprzyk, J. (eds), Springer, Heidelberg
-
Kowal, M., Korbicz, J.: Segmentation of breast cancer fine needle biopsy cytological images using fuzzy clustering. In: Kornacki, J., Raï, Z., Wierzchoï, S., Kacprzyk, J. (eds.) Advances in Machine Learning I, pp. 405-417. Springer, Heidelberg (2010)
-
(2010)
Advances in Machine Learning i
, pp. 405-417
-
-
Kowal, M.1
Korbicz, J.2
-
11
-
-
45849132913
-
Cytomorphometry of fine needle biopsy material from the breast cancer
-
Springer, Heidelberg
-
Marciniak, A., Obuchowicza, A., Monczak, R., Kołodziński, M.: Cytomorphometry of Fine Needle Biopsy Material from the Breast Cancer. In: Proc. 4th Int. Conf. on Computer Recognition Systems (CORES 2005), pp. 603-609. Springer, Heidelberg (2005)
-
(2005)
Proc. 4th Int. Conf. on Computer Recognition Systems (CORES 2005)
, pp. 603-609
-
-
Marciniak, A.1
Obuchowicza, A.2
Monczak, R.3
Kołodziński, M.4
-
13
-
-
78650333648
-
Image segmentation using fuzzy clustering: A survey
-
Naz, S.,Majeed, H., Irshad, H.: Image Segmentation using Fuzzy Clustering: A Survey. In: Proc 6th Int. Conf. Emerging Technologies (ICET 2010), pp. 181-186 (2010)
-
(2010)
Proc 6th Int. Conf. Emerging Technologies (ICET 2010)
, pp. 181-186
-
-
Naz, S.1
Majeed, H.2
Irshad, H.3
-
14
-
-
59649109760
-
Computational intelligence techniques in image segmentation for cytopathology
-
Smolinski, T.G., Milanova, M.G., Hassanien, A.-E. (eds), Springer, Heidelberg
-
Obuchowicz, A., Hrebień, M., Nieczkowski, T., Marciniak, A.: Computational intelligence techniques in image segmentation for cytopathology. In: Smolinski, T.G., Milanova, M.G., Hassanien, A.-E. (eds.) Computational Intelligence in Biomedicine and Bioinformatics. Studies in Computational Intelligence, vol. 151, pp. 169-199. Springer, Heidelberg (2008)
-
(2008)
Computational Intelligence in Biomedicine and Bioinformatics. Studies in Computational Intelligence
, vol.151
, pp. 169-199
-
-
Obuchowicz, A.1
Hrebień, M.2
Nieczkowski, T.3
Marciniak, A.4
-
15
-
-
0018306059
-
A threshold selectionmethod from gray-level histograms
-
Otsu, N.: A Threshold SelectionMethod from Gray-level Histograms. IEEE Trans. Sys. Man. and Cyber. (9), 62-66 (1979)
-
(1979)
IEEE Trans. Sys. Man. and Cyber.
, vol.9
, pp. 62-66
-
-
Otsu, N.1
-
16
-
-
1842422015
-
Survey over image thresholding techniques and quantitative performance evaluation
-
Sezgin, M., Sankur, B.: Survey over image thresholding techniques and quantitative performance evaluation. J. Electronic Imaging 13(1), 146-165 (2003)
-
(2003)
J. Electronic Imaging
, vol.13
, Issue.1
, pp. 146-165
-
-
Sezgin, M.1
Sankur, B.2
|