Nature

The classification of p53 immunohistochemical staining results and patient outcome in ovarian cancer

We would like to comment on the paper ‘Factors influencing p53 expression in ovarian cancer as a biomarker of clinical outcome in multicentre studies’ by de Graeff et al (2006). In this multicentre ...
EurekAlert!

Expert consensus on classification and annotation methods, processes, and quality control for dry eye imaging in artificial intelligence applications

New consensus standards aim to improve consistency, annotation quality, and multicenter collaboration in AI-assisted dry eye imaging diagnosis ...
EurekAlert!

Automated, deep learning-based models for virtual staining, segmentation, and classification of unlabeled photoacoustic Histology images (PAHs). (IMAGE)

Credit must be given to the creator.
Nature

Reply: The classification of p53 immunohistochemical staining results and patient outcome in ovarian cancer

We appreciate the interest of Lassus and Butzow in our report on the prognostic value of p53 immunostaining in epithelial ovarian cancer. In this study, we performed statistical analysis using two ...