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Deep Learning-Inferred Multiplex ImmunoFluorescence for IHC Image Quantification
Parmida Ghahremani, Yanyun Li, Arie Kaufman, Rami Vanguri, View ORCID ProfileNoah Greenwald, View ORCID ProfileMichael Angelo, Travis J. Hollmann, View ORCID ProfileSaad Nadeem
doi: https://doi.org/10.1101/2021.05.01.442219
Parmida Ghahremani
1Department of Computer Science, Stony Brook University, Stony Brook, NY, USA
Yanyun Li
3Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Arie Kaufman
1Department of Computer Science, Stony Brook University, Stony Brook, NY, USA
Rami Vanguri
3Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Noah Greenwald
2Department of Pathology, Stanford University, Stanford, CA, USA
Michael Angelo
2Department of Pathology, Stanford University, Stanford, CA, USA
Travis J. Hollmann
3Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
Saad Nadeem
4Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA

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Posted October 08, 2021.
Deep Learning-Inferred Multiplex ImmunoFluorescence for IHC Image Quantification
Parmida Ghahremani, Yanyun Li, Arie Kaufman, Rami Vanguri, Noah Greenwald, Michael Angelo, Travis J. Hollmann, Saad Nadeem
bioRxiv 2021.05.01.442219; doi: https://doi.org/10.1101/2021.05.01.442219
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