126 related articles for article (PubMed ID: 38574542)
1. Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images.
Hetz MJ; Bucher TC; Brinker TJ
Med Image Anal; 2024 May; 94():103149. PubMed ID: 38574542
[TBL] [Abstract][Full Text] [Related]
2. Normalization of HE-stained histological images using cycle consistent generative adversarial networks.
Runz M; Rusche D; Schmidt S; Weihrauch MR; Hesser J; Weis CA
Diagn Pathol; 2021 Aug; 16(1):71. PubMed ID: 34362386
[TBL] [Abstract][Full Text] [Related]
3. The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification.
Altini N; Marvulli TM; Zito FA; Caputo M; Tommasi S; Azzariti A; Brunetti A; Prencipe B; Mattioli E; De Summa S; Bevilacqua V
Comput Methods Programs Biomed; 2023 Jun; 234():107511. PubMed ID: 37011426
[TBL] [Abstract][Full Text] [Related]
4. Residual cyclegan for robust domain transformation of histopathological tissue slides.
de Bel T; Bokhorst JM; van der Laak J; Litjens G
Med Image Anal; 2021 May; 70():102004. PubMed ID: 33647784
[TBL] [Abstract][Full Text] [Related]
5. Stain color translation of multi-domain OSCC histopathology images using attention gated cGAN.
Barua B; Bora K; Kr Das A; Ahmed GN; Rahman T
Comput Med Imaging Graph; 2023 Jun; 106():102202. PubMed ID: 36857953
[TBL] [Abstract][Full Text] [Related]
6. A study about color normalization methods for histopathology images.
Roy S; Kumar Jain A; Lal S; Kini J
Micron; 2018 Nov; 114():42-61. PubMed ID: 30096632
[TBL] [Abstract][Full Text] [Related]
7. CycleGAN for virtual stain transfer: Is seeing really believing?
Vasiljević J; Nisar Z; Feuerhake F; Wemmert C; Lampert T
Artif Intell Med; 2022 Nov; 133():102420. PubMed ID: 36328671
[TBL] [Abstract][Full Text] [Related]
8. A nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution.
Khan AM; Rajpoot N; Treanor D; Magee D
IEEE Trans Biomed Eng; 2014 Jun; 61(6):1729-38. PubMed ID: 24845283
[TBL] [Abstract][Full Text] [Related]
9. Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks.
Barrera K; Rodellar J; Alférez S; Merino A
Comput Methods Programs Biomed; 2023 Oct; 240():107629. PubMed ID: 37301181
[TBL] [Abstract][Full Text] [Related]
10. Retinex model based stain normalization technique for whole slide image analysis.
Hoque MZ; Keskinarkaus A; Nyberg P; Seppänen T
Comput Med Imaging Graph; 2021 Jun; 90():101901. PubMed ID: 33862354
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Class-Agnostic Weighted Normalization of Staining in Histopathology Images Using a Spatially Constrained Mixture Model.
Shafiei S; Safarpoor A; Jamalizadeh A; Tizhoosh HR
IEEE Trans Med Imaging; 2020 Nov; 39(11):3355-3366. PubMed ID: 32386145
[TBL] [Abstract][Full Text] [Related]
13. Adversarial Stain Transfer for Histopathology Image Analysis.
Bentaieb A; Hamarneh G
IEEE Trans Med Imaging; 2018 Mar; 37(3):792-802. PubMed ID: 29533895
[TBL] [Abstract][Full Text] [Related]
14. Stain normalization using score-based diffusion model through stain separation and overlapped moving window patch strategies.
Jeong J; Kim KD; Nam Y; Cho CE; Go H; Kim N
Comput Biol Med; 2023 Jan; 152():106335. PubMed ID: 36473344
[TBL] [Abstract][Full Text] [Related]
15. Optimized detection and segmentation of nuclei in gastric cancer images using stain normalization and blurred artifact removal.
Martos O; Hoque MZ; Keskinarkaus A; Kemi N; Näpänkangas J; Eskuri M; Pohjanen VM; Kauppila JH; Seppänen T
Pathol Res Pract; 2023 Aug; 248():154694. PubMed ID: 37494804
[TBL] [Abstract][Full Text] [Related]
16. Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology.
Nerrienet N; Peyret R; Sockeel M; Sockeel S
J Med Imaging (Bellingham); 2023 Nov; 10(6):067502. PubMed ID: 38145285
[TBL] [Abstract][Full Text] [Related]
17. Generative Adversarial Networks in Digital Histopathology: Current Applications, Limitations, Ethical Considerations, and Future Directions.
Alajaji SA; Khoury ZH; Elgharib M; Saeed M; Ahmed ARH; Khan MB; Tavares T; Jessri M; Puche AC; Hoorfar H; Stojanov I; Sciubba JJ; Sultan AS
Mod Pathol; 2024 Jan; 37(1):100369. PubMed ID: 37890670
[TBL] [Abstract][Full Text] [Related]
18. Self-Supervised Digital Histopathology Image Disentanglement for Arbitrary Domain Stain Transfer.
Ling Y; Tan W; Yan B
IEEE Trans Med Imaging; 2023 Dec; 42(12):3625-3638. PubMed ID: 37486828
[TBL] [Abstract][Full Text] [Related]
19. Colour adaptive generative networks for stain normalisation of histopathology images.
Cong C; Liu S; Di Ieva A; Pagnucco M; Berkovsky S; Song Y
Med Image Anal; 2022 Nov; 82():102580. PubMed ID: 36113326
[TBL] [Abstract][Full Text] [Related]
20. A Method based on Evolutionary Algorithms and Channel Attention Mechanism to Enhance Cycle Generative Adversarial Network Performance for Image Translation.
Xue Y; Zhang Y; Neri F
Int J Neural Syst; 2023 May; 33(5):2350026. PubMed ID: 37016799
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
