Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
We propose a novel Markovian segmentation
model which takes into account edge information. By construction,
the model uses only pairwise interactions and its
energy is submodula...
Milán Leskó, Zoltan Kato, Antal Nagy, Imre Gombo...
We have implemented an effective and publicly available tool, VETOT, to track and quantify the evolution of tumors and organs over time. VETOT includes a framework both for registr...
Jean-Philippe Guyon, Mark Foskey, Jisung Kim, Zeyn...
Detection of malaria parasites in stained blood smears is critical for treatment of the disease. Automation of this process will help in reducing the time taken for diagnosis and ...
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...