Digital pathology and the adoption of image analysis have grown rapidly in the last few years.
This is largely due to the implementation of whole slide scanning, advances in software …

… and reproducible assessment, and a median cutoff for analysis, we found lower disease-specific
survival among patients with a high tumor stromal percentage in unadjusted analysis (p …

The potential to use quantitative image analysis and artificial intelligence is one of the
driving forces behind digital pathology. However, despite novel image analysis methods for …

The relationship between changes in retinal vessel morphology and the onset and progression
of diseases such as diabetes, hypertension and retinopathy of prematurity (ROP) has …

… all P values across all cancer types. All P values smaller than 10 –5 after FDR correction
are reported as 10 −5 . Statistical methods are further described in Extended Data Fig. 10a–c. …

… 1k; P = 0.2857 at day 10 and P = 0.1273 at day 14), emphasizing the predominant effect of
T reg -depletion on the differentiation phase of the regenerative response. To our knowledge, …

Technological advancements in biology and microscopy have empowered a transition from
bioimaging as an observational method to a quantitative one. However, as biologists are …

While the importance of automatic image analysis is continuously increasing, recent meta-research
revealed major flaws with respect to algorithm validation. Performance metrics are …

… Bold HR indicates statistically significant findings with p<0.05. Bivariate analysis of both
antigens is essential for risk stratification as CD8 and CD163 phenotypes show non-trivial …

… siRNAs leading to an efficient knockdown (Z-score > 2) and a significant change of HCV
replication (p value < 0.05) are highlighted with blue boxes. These genes were excluded from …