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Titlebook: Atlas of SPECT-CT; Stefano Fanti,Mohsen Farsad,Luigi Mansi Book 2011 Springer-Verlag Berlin Heidelberg 2011 Hybrid imaging systems.Radioth

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py_ciu_image: A Python Library for Explaining Image Classification with Contextual Importance and UtContextual Importance and Utility (CIU) is a model-agnostic method for explaining outcomes of AI systems. CIU has succeeded in producing meaningful explanations where state-of-the-art methods fail, . for detecting bleeding in gastroenterological images. This paper presents a Python implementation of CIU for explaining image classifications.
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The Oxford Robot World ModelAfter reviewing the advantages of supplying a robot with a geometric model of its surroundings, we discuss the design of a modular object-oriented database to support such a model, which is being implemented as part of the Oxford Autonomous Guided Vehicle project.
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Index Maintenance,Like anything in life, indexes require maintenance. Over time, the performance benefits of indexes can wane or, through data modifications, their sizes and the underlying statistics can drift and bloat. To prevent these issues, indexes must be maintained. Doing so will help ensure that a database will remain a lean, mean query-running machine!
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Indexing Myths and Best Practices,In the past few chapters, indexes have been introduced along with how they are structured. In the upcoming chapters, strategies will be discussed to build indexes and ensure that they behave as expected. In this chapter, some common myths will be dispelled while a foundation is built for creating effective indexes.
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