数据驱动方法在医学影像中的应用

English | 9 March 2024 | ISBN-10: 3031477715 | 243 pages| Epub PDF (True) | 25 MB

This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. and their applications in medical domain. Moreover, the key challenges which affect the design, development, and performance of medical imaging systems are addressed. In addition, the state-of-the-art medical imaging methodologies for efficient, interpretable, explainable, and practical implementation of computer imaging techniques are discussed. At present, there are no textbook resources that address the medical imaging technologies. There are ongoing and novel research outcomes which would be useful for the development of novel medical imaging technologies/processes/equipment which can improve the current state of the art.

这本书讨论了诸如主动学习、少样本学习、无监督学习、可解释和可解释性机器学习、在线学习以及自动生成机器学习（AutoML）等计算机视觉技术的最新进展，及其在医疗领域的应用。此外，还探讨了影响医学成像系统设计、开发和性能的关键挑战。另外，本书还讨论了用于高效实施计算机成像技术的先进医疗成像方法论，这些方法论具有可解释性和可解释性，并且具有实际应用价值。目前还没有专门针对医疗成像技术的教科书资源。正在进行中的以及新的研究成果将对开发新型医疗成像技术和过程或设备以改善当前技术水平大有裨益。

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