深度生成模型在医疗人工智能领域的进展

English | 2023 | ISBN: 3031463404 | 446 Pages | PDF EPUB (True) | 43 MB

Generative Artificial Intelligence is rapidly advancing with many state-of-the-art performances on computer vision, speech processing, and natural language processing tasks. Generative adversarial networks and neural diffusion models can generate high-quality synthetic images of human faces, artworks, and coherent essays on different topics. Generative models are also transforming Medical Artificial Intelligence, given their potential to learn complex features from medical imaging and healthcare data. Hence, computer-aided diagnosis and healthcare are benefiting from Medical Artificial Intelligence and Generative Artificial Intelligence.

生成式人工智能在计算机视觉、语音处理和自然语言处理任务上取得了许多最先进的表现。生成对抗网络和神经扩散模型能够生成高质量的人脸合成图像、艺术品以及不同主题的连贯论文。生成式模型也正在改变医疗人工智能，鉴于它们从医学成像和医疗健康数据中学习复杂特征的能力。因此，计算机辅助诊断和医疗服务正受益于医疗人工智能和生成式人工智能。

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