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Cited by in F6Publishing
For: Bianconi F, Kather JN, Reyes-Aldasoro CC. Experimental Assessment of Color Deconvolution and Color Normalization for Automated Classification of Histology Images Stained with Hematoxylin and Eosin. Cancers (Basel) 2020;12:E3337. [PMID: 33187299 DOI: 10.3390/cancers12113337] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Marti-aguado D, Fernández-patón M, Alfaro-cervello C, Mestre-alagarda C, Bauza M, Gallen-peris A, Merino V, Benlloch S, Pérez-rojas J, Ferrández A, Puglia V, Gimeno-torres M, Aguilera V, Monton C, Escudero-garcía D, Alberich-bayarri Á, Serra MA, Marti-bonmati L. Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease. Biomolecules 2021;11:1808. [DOI: 10.3390/biom11121808] [Reference Citation Analysis]
2 Brady L, Wang YN, Rombokas E, Ledoux WR. Comparison of texture-based classification and deep learning for plantar soft tissue histology segmentation. Comput Biol Med 2021;134:104491. [PMID: 34090017 DOI: 10.1016/j.compbiomed.2021.104491] [Reference Citation Analysis]
3 Runz M, Rusche D, Schmidt S, Weihrauch MR, Hesser J, Weis CA. Normalization of HE-stained histological images using cycle consistent generative adversarial networks. Diagn Pathol 2021;16:71. [PMID: 34362386 DOI: 10.1186/s13000-021-01126-y] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Brück O, Lee MH, Turkki R, Uski I, Penttilä P, Paavolainen L, Kovanen P, Järvinen P, Bono P, Pellinen T, Mustjoki S, Kreutzman A. Spatial immunoprofiling of the intratumoral and peritumoral tissue of renal cell carcinoma patients. Mod Pathol 2021. [PMID: 34215851 DOI: 10.1038/s41379-021-00864-0] [Reference Citation Analysis]
5 Schiele S, Arndt TT, Martin B, Miller S, Bauer S, Banner BM, Brendel EM, Schenkirsch G, Anthuber M, Huss R, Märkl B, Müller G. Deep Learning Prediction of Metastasis in Locally Advanced Colon Cancer Using Binary Histologic Tumor Images. Cancers (Basel) 2021;13:2074. [PMID: 33922988 DOI: 10.3390/cancers13092074] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Boschman J, Farahani H, Darbandsari A, Ahmadvand P, Van Spankeren A, Farnell D, Levine AB, Naso JR, Churg A, Jones SJ, Yip S, Köbel M, Huntsman DG, Gilks CB, Bashashati A. The utility of color normalization for AI-based diagnosis of hematoxylin and eosin-stained pathology images. J Pathol 2021. [PMID: 34543435 DOI: 10.1002/path.5797] [Reference Citation Analysis]
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