
Recent research on formal verification for Collective Adaptive Systems (CAS) pushed advancements in spatial and spatio-temporal model checking, and as a side result provided novel image analysis methodologies, rooted in logical methods for topological spaces. Medical Imaging (MI) is a field where such technologies show potential for ground-breaking innovation. In this position paper, we present a preliminary investigation centred on applications of spatial model checking to MI. The focus is shifted from pure logics to a mixture of logical, statistical and algorithmic approaches, driven by the logical nature intrinsic to the specification of the properties of interest in the field. As a result, novel operators are introduced, that could as well be brought back to the setting of CAS.
In Proceedings FORECAST 2016, arXiv:1607.02001
FOS: Computer and information sciences, Computer Science - Logic in Computer Science, F.4.1 modal logic, Computer Vision and Pattern Recognition (cs.CV), Software/Program Verification, Computer Science - Computer Vision and Pattern Recognition, D.2.4 model checking, QA75.5-76.95, Model logics, Logic in Computer Science (cs.LO), Medical Imaging, Spatial Model-checking, Spatial Logics, Electronic computers. Computer science, QA1-939, Mathematical Logic, D.2.4 model checking; F.4.1 modal logic; J.3 medical information systems, Mathematics, J.3 medical information systems
FOS: Computer and information sciences, Computer Science - Logic in Computer Science, F.4.1 modal logic, Computer Vision and Pattern Recognition (cs.CV), Software/Program Verification, Computer Science - Computer Vision and Pattern Recognition, D.2.4 model checking, QA75.5-76.95, Model logics, Logic in Computer Science (cs.LO), Medical Imaging, Spatial Model-checking, Spatial Logics, Electronic computers. Computer science, QA1-939, Mathematical Logic, D.2.4 model checking; F.4.1 modal logic; J.3 medical information systems, Mathematics, J.3 medical information systems
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