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Cited by in F6Publishing
For: Gamble P, Jaroensri R, Wang H, Tan F, Moran M, Brown T, Flament-auvigne I, Rakha EA, Toss M, Dabbs DJ, Regitnig P, Olson N, Wren JH, Robinson C, Corrado GS, Peng LH, Liu Y, Mermel CH, Steiner DF, Chen PC. Determining breast cancer biomarker status and associated morphological features using deep learning. Commun Med 2021;1. [DOI: 10.1038/s43856-021-00013-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Anaya-isaza A, Mera-jiménez L, Zequera-diaz M. An overview of deep learning in medical imaging. Informatics in Medicine Unlocked 2021;26:100723. [DOI: 10.1016/j.imu.2021.100723] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
2 Salahuddin Z, Woodruff HC, Chatterjee A, Lambin P. Transparency of deep neural networks for medical image analysis: A review of interpretability methods. Comput Biol Med 2021;140:105111. [PMID: 34891095 DOI: 10.1016/j.compbiomed.2021.105111] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]
3 Agahi M, Rahaie M. A novel DNA tweezers-based nanobiosensor for multiple detections of circulating exosomal microRNAs in breast cancer. Anal Biochem 2022;:114697. [PMID: 35487268 DOI: 10.1016/j.ab.2022.114697] [Reference Citation Analysis]