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

doi:10.1101/2021.05.01.442219

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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

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Yanyun Li

3Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA

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Arie Kaufman

1Department of Computer Science, Stony Brook University, Stony Brook, NY, USA

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Rami Vanguri

3Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA

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Noah Greenwald

2Department of Pathology, Stanford University, Stanford, CA, USA

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ORCID record for Noah Greenwald

Michael Angelo

2Department of Pathology, Stanford University, Stanford, CA, USA

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Travis J. Hollmann

3Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA

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Saad Nadeem

4Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA

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ORCID record for Saad Nadeem
For correspondence: nadeems@mskcc.org

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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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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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