Publications by Birgitte Nielsen
16 publications found
Original articles
Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers
J Natl Cancer Inst, 110 (12), 1400-1408
DOI 10.1093/jnci/djy063, PubMed 29684152
Chromatin organisation and cancer prognosis: a pan-cancer study
Lancet Oncol, 19 (3), 356-369
DOI 10.1016/S1470-2045(17)30899-9, PubMed 29402700
Changes in Chromatin Structure in Curettage Specimens Identifies High-Risk Patients in Endometrial Cancer
Cancer Epidemiol Biomarkers Prev, 26 (1), 61-67
DOI 10.1158/1055-9965.EPI-16-0215, PubMed 27587790
Chromatin changes predict recurrence after radical prostatectomy
Br J Cancer, 114 (11), 1243-50
DOI 10.1038/bjc.2016.96, PubMed 27124335
Entropy-based adaptive nuclear texture features are independent prognostic markers in a total population of uterine sarcomas
Cytometry A, 87 (4), 315-25
DOI 10.1002/cyto.a.22601, PubMed 25483227
Automatic segmentation of cell nuclei in Feulgen-stained histological sections of prostate cancer and quantitative evaluation of segmentation results
Cytometry A, 81 (7), 588-601
DOI 10.1002/cyto.a.22068, PubMed 22605528
The prognostic value of adaptive nuclear texture features from patient gray level entropy matrices in early stage ovarian cancer
Anal Cell Pathol (Amst), 35 (4), 305-14
DOI 10.3233/ACP-2012-0065, PubMed 22596183
Comparison of nuclear texture analysis and image cytometric DNA analysis for the assessment of dysplasia in Barrett's oesophagus
Br J Cancer, 105 (8), 1218-23
DOI 10.1038/bjc.2011.353, PubMed 21934680
Prognostic value of adaptive textural features--the effect of standardizing nuclear first-order gray level statistics and mixing information from nuclei having different area
Cell Oncol, 28 (3), 85-95
DOI 10.1155/2006/370173, PubMed 16823177
Fractal analysis of monolayer cell nuclei from two different prognostic classes of early ovarian cancer
MATH BIOSCI INTERACT, 175-186
DOI 10.1007/3-7643-7412-8_16
Low dimensional adaptive texture feature vectors from class distance and class difference matrices
IEEE Trans Med Imaging, 23 (1), 73-84
DOI 10.1109/TMI.2003.819923, PubMed 14719689
Fractal Signature Vectors and Lacunarity Class Distance Matrices to extract new adaptive texture features from cell nuclei
MATH BIOSCI INTERAC, 55-65
Prognostic classification of early ovarian cancer based on very low dimensionality adaptive texture feature vectors from cell nuclei from monolayers and histological sections
Anal Cell Pathol, 23 (2), 75-88
DOI 10.1155/2001/683747, PubMed 11904463
Adaptive gray level run length features from class distance matrices
INT C PATT RECOG, 738-741
The use of fractal features from the periphery of cell nuclei as a classification tool
Anal Cell Pathol, 19 (1), 21-37
DOI 10.1155/1999/986086, PubMed 10661622
Review articles
Statistical nuclear texture analysis in cancer research: a review of methods and applications
Crit Rev Oncog, 14 (2-3), 89-164
DOI 10.1615/critrevoncog.v14.i2-3.10, PubMed 19409060