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Updated: Jul 7, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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关于工业机器学习应用的特别号的编辑

Paolo Rota¹, Miguel Angel Guevara Lopez², Francesco Setti³

¹Center for Mind and Brain (CIMeC), Department of Engineering and Computer Science, University of Trento, 38122 Trento, Italy.

Journal of imaging

|December 22, 2023

概括

本特别号探讨了工业机器学习应用的进展. 它强调了创新,以创造更智能,更高效和更适应的工业流程.

科学领域:

工业机器学习工业机器学习
人工智能在制造业中的应用

背景情况:

工业过程日益复杂,需要先进的计算方法.
传统的自动化正在被智能系统所增强,以提高性能.

研究的目的:

展示工业机器学习应用的尖端研究.
探索智能,高效和适应性工业流程的发展.

主要方法:

本专题号汇编了最近的研究成果和案例研究.
讨论的方法包括各种应用于工业挑战的机器学习算法.

主要成果:

创新正在推动工业工艺智能的显著改进.
适应性系统正在提高效率和运营灵活性.

结论:

工业机器学习对于未来的制造业至关重要.
持续的研究将促进更复杂,更自主的工业运作.

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