Paper on feature learning and texture in histopathology images accepted at MICCAI2015

The paper ‘Anaplastic Medulloblastoma tumor differentiation by combining Unsupervised Feature Learning and Riesz wavelets for histopathology image representation’ by Sebastian Otálora et al. was accepted at the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI) 2015.

The conference will take place from October 5th to 9th 2015 in Munich Germany.

This and other publications can be found at our Publications webpage.