Tag: HaraliCU

New paper: unsupervised learning for medical images analysis

We recently published a new paper on Journal of Supercomputing. The article focuses on an approach that combines automatic feature extraction and unsupervised learning for the analysis of medical images. The idea is to extract (long) vectors of Haralick features for each pixel, and use that information to train a Self-Organizing Map: similar pixels will …

New paper published in PaCT 2019’s proceedings

The PaCT conference (Parallel Computing Technologies) is a biennial event focused on the new developments and trends in parallel computing technologies. We presented some papers in the previous editions, mainly focusing on GPU-powered (biochemical) simulation [1], [2], [3]. This year we submitted a manuscript focused on something completely different, that is, the GPU-powered automatic extraction …