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Holmen, Sigve Dhondup; Kleppa, Elisabeth; Lillebø, Kristine; Taylor, M.; Albregtsen, Fritz & Kjetland, Eyrun Floerecke
(2013).
Diagnosing female genital schistosomiasis.
Tropical medicine & international health.
ISSN 1360-2276.
18,
p. 56–56.
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Holmen, Sigve Dhondup; Kleppa, Elisabeth; Lillebø, Kristine; Moodley, Jayeshnee; Taylor, Myra & Albregtsen, Fritz
[Show all 9 contributors for this article]
(2013).
A Novel, Diagnostic Tool for Female Genital Schistosomiasis in Low-Resource Settings.
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Holmen, Sigve Dhondup; Kleppa, Elisabeth; Lillebø, Kristine; Taylor, Myra; Albregtsen, Fritz & Kjetland, Eyrun Flørecke
(2013).
Diagnosing Female Genital Schistosomiasis.
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Kumar, Rahul Prasanna; Albregtsen, Fritz; Reimers, Martin; Edwin, Bjørn & Elle, Ole Jakob
(2013).
Novel blood vessel segmentation method.
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Kumar, Rahul Prasanna; Albregtsen, Fritz; Reimers, Martin; Langø, Thomas; Edwin, Bjørn & Elle, Ole Jakob
(2013).
3D multiscale vessel enhancement based centerline extraction of blood vessels.
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Kumar, Rahul Prasanna; Albregtsen, Fritz; Reimers, Martin; Langø, Thomas & Elle, Ole Jakob
(2012).
A faster centreline tracking of blood vessels.
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Kumar, Rahul Prasanna; Albregtsen, Fritz & Elle, Ole Jakob
(2012).
3D blood vessel centreline extraction for catheter based navigation.
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Holmen, Sigve; Lillebø, Kristine; Kleppa, Elisabeth; Kjetland, Eyrun Flørecke & Albregtsen, Fritz
(2012).
Computerized image analysis as a tool for identification of clinical manifestations in Female Genital Schistosomiasis.
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Nielsen, B; Albregtsen, Fritz & Danielsen, Håvard Emil
(2010).
AUTOMATIC SEGMENTATION OF CELL NUCLEI IN HISTOLOGICAL SECTIONS.
Cellular Oncology.
ISSN 1570-5870.
32(3),
p. 180–180.
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Dunn, J. M.; Lovat, L. B.; Pretorius, M; Oukrif, D.; Hveem, Tordis & Nielsen, Bettina
[Show all 9 contributors for this article]
(2010).
COMBINATION OF NUCLEAR TEXTURAL ANALYSIS AND IMAGE CYTOMETRIC DNA ANALYSIS IS MORE ACCURATE THAN IMAGE CYTOMETRIC DNA PLOIDY ANALYSIS ALONE FOR RISK STRATIFICATION IN BARRETT'S OESOPHAGUS.
Gut.
ISSN 0017-5749.
59,
p. A114–A115.
doi:
10.1136/gut.2009.208983r.
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Nielsen, B; Albregtsen, Fritz & Danielsen, HE
(2008).
A review of statistical nuclear texture analysis in cancer research.
Cellular Oncology.
ISSN 1570-5870.
30,
p. 165–165.
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Cvankarova, Milada; Albregtsen, Fritz; Braband, Knut & Samset, Eigil
(2005).
Segmentation of ultrasound images of liver tumors applying snake algorithms and GVF.
-
Akbari, Akbar & Albregtsen, Fritz
(2004).
Evaluation of Noise in DNA Fingerprint Images Produced by Hybridization Techniques.
-
Akbari, Akbar & Albregtsen, Fritz
(2004).
Automatic Lane Detection and Separation in One Dimensional DNA gel images.
-
Akbari, Akbar & Albregtsen, Fritz
(2004).
Automatic segmentation of DNA bands in one dimensional gel images produced by hybridizing techniques.
-
Nielsen, Birgitte & Albregtsen, Fritz
(2004).
Fractal analysis of monolayer cell nuclei from two different prognostic classes of early ovarian cancer.
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Albregtsen, Fritz & Schulerud, Helene
(2003).
Leave-one-out classification error estimation in high dimensional feature spaces - the usual way, and the right way.
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Albregtsen, Fritz & Nygreen, Thomas
(2003).
On the variability of the CCR in ML classification.
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Baheerathan, Sivalingam; Albregtsen, Fritz; Nielsen, Birgitte & Danielsen, Håvard E.
(2003).
Complexity graylevel matrix - a new texture analysis method.
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Nielsen, Birgitte; Albregtsen, Fritz & Danielsen, Håvard E.
(2003).
Local binary pattern matrix - a new approach to nuclear texture analysis.
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Nielsen, Birgitte; Albregtsen, Fritz & Danielsen, Håvard E.
(2003).
Nuclear texture analysis of two different prognostic classes of early ovarian cancer based on gray level entropy matrices.
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Albregtsen, Fritz; Nielsen, Birgitte & Danielsen, Håvard E.
(2002).
Computing adaptive fractal features from gray level images of cell nuclei.
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Albregtsen, Fritz; Nielsen, Birgitte & Danielsen, Håvard E.
(2002).
A compact set of adaptive features from cooccurrence of gray level run length matrices.
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Schulerud, Helene & Albregtsen, Fritz
(2002).
Effects of many feature candidates in feature selection and classification.
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Nielsen, Birgitte; Albregtsen, Fritz & Danielsen, Håvard E.
(2002).
Two adaptive texture features based on multidimensional gray level cooccurrence marices.
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Nielsen, Birgitte; Albregtsen, Fritz & Danielsen, Håvard E.
(2002).
Statistical texture analysis - robustness versus number of gray levels.
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Nielsen, Birgitte; Albregtsen, Fritz & Danielsen, Håvard E.
(2002).
Transforming 2D images to 1D signals to obtain radially differentiated fractal features from early ovarian cancer cell nuclei.
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Albregtsen, Fritz & Nielsen, Birgitte
(2002).
Adaptive low dimensional texture features from fractal signature vectors and lacunarity matrices.
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Akbari, Akbar & Albregtsen, Fritz
(2002).
Normalizing Background Trend in One-Dimensional DNA Fingerprint Images.
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Albregtsen, Fritz; Nielsen, Birgitte & Danielsen, Håvard E.
(2001).
A unified approach to low dimensionality adaptive texture feature extraction applied to ovarian cancer prognosis estimation.
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Nielsen, Birgitte; Albregtsen, Fritz; Kildal, Wanja & Danielsen, Håvard E.
(2001).
The extraction of low dimensionality adaptive texture feature vectors from the periphery and center of ovarian cell nuclei from monolayers and histological sections.
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Akbari, Akbar; Albregtsen, Fritz & Lingjærde, Ole Christian
(2001).
ADAPTIVE WEIGHTED LEAST SQUARES METHOD FOR ESTIMATION OF DNA FRAGMENT LENGHTS FROM AGAROS GELS.
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Akbari, Akbar & Albregtsen, Fritz
(2001).
BACKGROUND NORMALIZATION OF DNA FINGERPRINT IMAGES.
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Nielsen, Birgitte; Albregtsen, Fritz & Danielsen, Håvard E.
(2000).
Using fractal signature vectors and lacunarity distance matrices to extract new adaptive features from cell nuclei.
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Nielsen, Birgitte; Albregtsen, Fritz; Baheerathan, Sivalingam & Danielsen, Håvard E.
(2000).
Peel-off-scanning to obtain radial differentiation of fractal and complexity features in cell nuclei.
Show summary
A polygonization-based method is used to estimate fractal features from
digitized transmission electron micrographs (TEM) of mouse liver cell
nuclei. In order to obtain separate estimates of the development of
fractal features in the center and periphery of a cell nucleus during
carcinogenesis, the fractal features have been estimated from 1D curves
obtained by scanning the 2D cell nuclei in a spiral-like fashion called
``peel-off-scanning''. The peripheral part (outer $30\%$) of the cell
nuclei contained important texture information about the differences
between the classes. The classification performance of five complexity
features were also enhanced when separate estimates were made in the
center and periphery of the cell nuclei. The combination of two
features and two segments, one feature from the 30% peripheral part and
one feature from the 70\% central part of the cell nuclei, gave good
classification results for the four class problem of normal,
regenerating, noduli and tumor classes.
-
Nielsen, Birgitte; Albregtsen, Fritz; Baheerathan, Sivalingam & Danielsen, Håvard E.
(2000).
Peel-off-scanning to obtain radial differentiation of fractal and complexity features in cell nuclei.
-
Albregtsen, Fritz; Nielsen, Birgitte & Danielsen, Håvard E.
(2000).
Adaptive gray level run length features obtained from class distance matrices.
-
Albregtsen, Fritz; Nielsen, Birgitte & Danielsen, Håvard E.
(2000).
Adaptive gray level run length features obtained from class distance matrices.
Show summary
We have constructed class distance matrices for the Gray Level Run
Length texture analysis method. For a four-class problem of liver cell
nuclei, we have found that there exist areas of consistently high
values in the class distance matrices. We have combined the information
from the entries of the normalized run length matrix, based on the
class distance matrices, to obtain adaptive features for texture
classification. Using this procedure, we have extracted only two
features, which halved the classification error when compared to the
best pair of classical GLRLM features.
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Yang, Luren; Albregtsen, Fritz; Lønnestad, Tor; Grøttum, Per & Borgefors, Gunilla
(1999).
Measuring shape and motion of white blood cells from sequences of fluorescence microskopy.
-
Nielsen, Birgitte; Albregtsen, Fritz & Danielsen, Håvard E.
(1999).
Diagnostic classification based on fractal features in the periphery of cell nuclei from liver lesions.
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Schulerud, Helene; Kristensen, Gunnar B.; Albregtsen, Fritz; Liestøl, Knut & Danielsen, Håvard E.
(1997).
Prognosis of cervix cancer.
-
Yang, Luren; Albregtsen, Fritz; Lønnestad, Tor; Grøttum, Per; Hlavác, Václav & Sára, Radim
(1996).
A supervised approach to the evaluation of image segmentation methods.
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Schulerud, Helene; Kristensen, Gunnar B.; Albregtsen, Fritz; Liestøl, Knut & Danielsen, Håvard E.
(1996).
Prognosis of cervix cancer using texture analysis.