We are pleased to announce that our group have recently two papers accepted!

The first paper was accepted in the 22nd Brazilian Symposium on Computing Applied to Health, and was also invited to a special issue of the Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. The work is entitled “How feasible is it to segment human glomerulus with a model trained on mouse histology images?” and investigates knowledge transfer between mice and humans glomeruli images.

The second paper was accepted in the Computerized Medical Imaging and Graphics. The work is entitled “Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization” and proposes a novel convolutional neural network for glomerulus segmentation: the DS-FNet.

Both works are result of a fruitful partnership between the Ivision and the Pathospotter project.