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Titlebook: Artificial Intelligence in Cardiothoracic Imaging; Carlo N. De Cecco,Marly van Assen,Tim Leiner Book 2022 The Editor(s) (if applicable) an

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31#
發(fā)表于 2025-3-26 22:32:09 | 只看該作者
32#
發(fā)表于 2025-3-27 03:36:40 | 只看該作者
Radiomics: Technical Backgroundigh diagnostic and prognostic potential. This chapter gives an overview over the rationale behind radiomics and its technical foundations, with a focus on explaining the computation of various radiomic feature matrices.
33#
發(fā)表于 2025-3-27 07:59:15 | 只看該作者
34#
發(fā)表于 2025-3-27 13:05:32 | 只看該作者
Artificial Intelligence: Clinical Relevance and Workflow can impact multiple stages of the imaging experience of a patient, ranging from the initial clinical decision to order creation to the final interpretation. The purpose of this chapter is to review some of the potential workflow of AI applications.
35#
發(fā)表于 2025-3-27 17:01:37 | 只看該作者
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發(fā)表于 2025-3-27 18:42:53 | 只看該作者
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發(fā)表于 2025-3-28 01:28:46 | 只看該作者
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發(fā)表于 2025-3-28 05:48:43 | 只看該作者
39#
發(fā)表于 2025-3-28 07:59:36 | 只看該作者
https://doi.org/10.1007/3-540-27668-8review the traditional and emerging data paradigms and their associated data analysis paradigms with special emphasis on the fields of biostatistics and machine learning. We briefly summarize motivations and questions of interest for both analytic views and point out the important potential for cross fertilization between the two.
40#
發(fā)表于 2025-3-28 13:45:07 | 只看該作者
,Die Best?ndigkeit der Erinnerung, can impact multiple stages of the imaging experience of a patient, ranging from the initial clinical decision to order creation to the final interpretation. The purpose of this chapter is to review some of the potential workflow of AI applications.
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