Category: Medical image analysis

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 …

Two new journal papers

Recently, we got two papers accepted for pubblication. The first one was the followup of our CIBCB 2019 paper, published on IEEE Journal of Biomedical and Health Informatics. The paper describes the last developments of our ProCell tool for cell proliferation analysis, whose GUI was completely overhauled by designer Luca Zanini and whose simulation core …

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 …