Her2 challenge contest: a detailed assessment of automated her2 scoring algorithms in whole slide images of breast cancer tissues

Her2 challenge contest: a detailed assessment of automated her2 scoring algorithms in whole slide images of breast cancer tissues

Aims Evaluating expression of the Human epidermal growth factor receptor 2 (Her2) by visual examination of immunohistochemistry (IHC) on invasive breast cancer (BCa) is a key part of the diagnostic assessment of BCa due to its recognised importance as a predictive and prognostic marker in clinica...

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Bibliographic Details
Main Authors: Qaiser, Talha, Mukherjee, Abhik, Reddy Pb, Chaitanya, Munugoti, Sai Dileep, Tallam, Vamsi, Pitkäaho, Tomi, Lehtimäki, Taina, Naughton, Thomas, Berseth, Matt, Pedraza, Aníbal, Mukundan, Ramakrishnan, Smith, Matthew, Bhalerao, Abhir, Rodner, Erik, Simon, Marcel, Denzler, Joachim, Huang, Chao-Hui, Bueno, Gloria, Snead, David, Ellis, Ian O, Ilyas, Mohammad, Rajpoot, Nasir
Format: Article
Published: Wiley 2018
Subjects:
Digital Pathology; Automated Her2 Scoring; Biomarker Quantification; Quantitative Immunohistochemistry; Breast Cancer
Online Access:https://eprints.nottingham.ac.uk/46432/

Internet

https://eprints.nottingham.ac.uk/46432/

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