180 related articles for article (PubMed ID: 25780744)
1. Digital separation of diaminobenzidine-stained tissues via an automatic color-filtering for immunohistochemical quantification.
Fu R; Ma X; Bian Z; Ma J
Biomed Opt Express; 2015 Feb; 6(2):544-58. PubMed ID: 25780744
[TBL] [Abstract][Full Text] [Related]
2. Quantification of immunohistochemical staining by color translation and automated thresholding.
Ruifrok AC
Anal Quant Cytol Histol; 1997 Apr; 19(2):107-13. PubMed ID: 9113303
[TBL] [Abstract][Full Text] [Related]
3. AutoIHC-Analyzer: computer-assisted microscopy for automated membrane extraction/scoring in HER2 molecular markers.
Tewary S; Arun I; Ahmed R; Chatterjee S; Mukhopadhyay S
J Microsc; 2021 Jan; 281(1):87-96. PubMed ID: 32803890
[TBL] [Abstract][Full Text] [Related]
4. Quantitative image analysis of immunohistochemical stains using a CMYK color model.
Pham NA; Morrison A; Schwock J; Aviel-Ronen S; Iakovlev V; Tsao MS; Ho J; Hedley DW
Diagn Pathol; 2007 Feb; 2():8. PubMed ID: 17326824
[TBL] [Abstract][Full Text] [Related]
5. Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.
Xu J; Xiang L; Wang G; Ganesan S; Feldman M; Shih NN; Gilmore H; Madabhushi A
Comput Med Imaging Graph; 2015 Dec; 46 Pt 1():20-29. PubMed ID: 25958195
[TBL] [Abstract][Full Text] [Related]
6. Quantification of histochemical staining by color deconvolution.
Ruifrok AC; Johnston DA
Anal Quant Cytol Histol; 2001 Aug; 23(4):291-9. PubMed ID: 11531144
[TBL] [Abstract][Full Text] [Related]
7. New Colors for Histology: Optimized Bivariate Color Maps Increase Perceptual Contrast in Histological Images.
Kather JN; Weis CA; Marx A; Schuster AK; Schad LR; Zöllner FG
PLoS One; 2015; 10(12):e0145572. PubMed ID: 26717571
[TBL] [Abstract][Full Text] [Related]
8. DAB-quant: An open-source digital system for quantifying immunohistochemical staining with 3,3'-diaminobenzidine (DAB).
Patel S; Fridovich-Keil S; Rasmussen SA; Fridovich-Keil JL
PLoS One; 2022; 17(7):e0271593. PubMed ID: 35857792
[TBL] [Abstract][Full Text] [Related]
9. Automatic nonsubjective estimation of antigen content visualized by immunohistochemistry using color deconvolution.
Helps SC; Thornton E; Kleinig TJ; Manavis J; Vink R
Appl Immunohistochem Mol Morphol; 2012 Jan; 20(1):82-90. PubMed ID: 22157059
[TBL] [Abstract][Full Text] [Related]
10. Quantification of vascular density using a semiautomated technique for immunostained specimens.
King TW; Brey EM; Youssef AA; Johnston C; Patrick CW
Anal Quant Cytol Histol; 2002 Feb; 24(1):39-48. PubMed ID: 11865948
[TBL] [Abstract][Full Text] [Related]
11. Color deconvolution. Optimizing handling of 3D unitary optical density vectors with polar coordinates.
Bigras G
Anal Quant Cytol Histol; 2012 Jun; 34(3):149-60. PubMed ID: 23016461
[TBL] [Abstract][Full Text] [Related]
12. An adaptive digital stain separation method for deep learning-based automatic cell profile counts.
Dave P; Alahmari S; Goldgof D; Hall LO; Morera H; Mouton PR
J Neurosci Methods; 2021 Apr; 354():109102. PubMed ID: 33607171
[TBL] [Abstract][Full Text] [Related]
13. Semiautomated computer-assisted image analysis to quantify 3,3'-diaminobenzidine tetrahydrochloride-immunostained small tissues.
Leal S; Diniz C; Sá C; Gonçalves J; Soares AS; Rocha-Pereira C; Fresco P
Anal Biochem; 2006 Oct; 357(1):137-43. PubMed ID: 16914112
[TBL] [Abstract][Full Text] [Related]
14. Stain Color Adaptive Normalization (SCAN) algorithm: Separation and standardization of histological stains in digital pathology.
Salvi M; Michielli N; Molinari F
Comput Methods Programs Biomed; 2020 Sep; 193():105506. PubMed ID: 32353672
[TBL] [Abstract][Full Text] [Related]
15. Adaptive color deconvolution for histological WSI normalization.
Zheng Y; Jiang Z; Zhang H; Xie F; Shi J; Xue C
Comput Methods Programs Biomed; 2019 Mar; 170():107-120. PubMed ID: 30712599
[TBL] [Abstract][Full Text] [Related]
16. Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference.
Pérez-Bueno F; Vega M; Sales MA; Aneiros-Fernández J; Naranjo V; Molina R; Katsaggelos AK
Comput Methods Programs Biomed; 2021 Nov; 211():106453. PubMed ID: 34649072
[TBL] [Abstract][Full Text] [Related]
17. Chromaticity analysis of immunostained tumor specimens.
Goto M; Nagatomo Y; Hasui K; Yamanaka H; Murashima S; Sato E
Pathol Res Pract; 1992 Jun; 188(4-5):433-7. PubMed ID: 1384012
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning-Based H-Score Quantification of Immunohistochemistry-Stained Images.
Wen Z; Luo D; Wang S; Rong R; Evers BM; Jia L; Fang Y; Daoud EV; Yang S; Gu Z; Arner EN; Lewis CM; Solis Soto LM; Fujimoto J; Behrens C; Wistuba II; Yang DM; Brekken RA; O'Donnell KA; Xie Y; Xiao G
Mod Pathol; 2024 Feb; 37(2):100398. PubMed ID: 38043788
[TBL] [Abstract][Full Text] [Related]
19. Hue-saturation-density (HSD) model for stain recognition in digital images from transmitted light microscopy.
van Der Laak JA; Pahlplatz MM; Hanselaar AG; de Wilde PC
Cytometry; 2000 Apr; 39(4):275-84. PubMed ID: 10738280
[TBL] [Abstract][Full Text] [Related]
20. Color deconvolution for the analysis of tissue microarrays.
Cornish TC; Halushka MK
Anal Quant Cytol Histol; 2009 Oct; 31(5):304-12. PubMed ID: 20701098
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]