Publisher Correction to: Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemis
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PUBLISHER CORRECTION
Open Access
Publisher Correction to: Deep learningbased image analysis methods for brightfield-acquired multiplex immunohistochemistry images Danielle J. Fassler1†, Shahira Abousamra2†, Rajarsi Gupta3, Chao Chen3, Maozheng Zhao2, David Paredes2, Syeda Areeha Batool3, Beatrice S. Knudsen4, Luisa Escobar-Hoyos1,5, Kenneth R. Shroyer1, Dimitris Samaras2, Tahsin Kurc3 and Joel Saltz3* Publisher Correction to: Diagn Pathol 15, 100 (2020) https://doi.org/10.1186/s13000-020-01003-0 Following publication of the original article [1], the authors noticed that the figures were missing from the article. The accompanying figures are presented here. The publisher apologizes to the authors and readers for the inconvenience. The original article has been updated. Author details 1 Department of Pathology, Stony Brook University Renaissance School of Medicine, 101 Nicolls Rd, Stony Brook 11794, USA. 2Department of Computer Science, Stony Brook University, 100 Nicolls Rd, Stony Brook 11794, USA. 3 Department of Biomedical Informatics, Stony Brook University Renaissance School of Medicine, 101 Nicolls Rd, Stony Brook 11794, USA. 4Department of Pathology, University of Utah, 2000 Circle of Hope, Salt Lake City, UT 84112, USA. 5Department Therapeutic Radiology, Yale University, 15 York Street, New Haven, CT 06513, USA.
Reference 1. Fassler DJ, Abousamra S, Gupta R, et al. Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images. Diagn Pathol. 2020;15:100. https://doi.org/10.1186/s13000-020-01003-0.
The original article can be found online at https://doi.org/10.1186/s13000020-01003-0. * Correspondence: [email protected] † Danielle J. Fassler and Shahira Abousamra contributed equally to this work. 3 Department of Biomedical Informatics, Stony Brook University Renaissance School of Medicine, 101 Nicolls Rd, Stony Brook 11794, USA Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line t
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