Weakly supervised learning aims to create robust models using sparse annotation and less manual effort. In image-level weakly supervised segmentation, models work based on the similarity between images of each class. Other hints, like the location of objects (bounding-box supervision), one pixel ...
5c) or by using the nonparametric correlation measures (Fig. 5d). Systematically, global pairwise normalization showed the highest correlations with the western blotting data (Fig. 5c,d). Thus, we conclude that out of the all normalization methods tested in this study, the global pairwise ...
A feasibility study using a quantum cascade laser-based infrared microscope for the rapid and label-free classification of colorectal cancer tissues is presented. Infrared imaging is a reliable, robust, automated, and operator-independent tissue classification method that has been used for differential c...