《Artificial Intelligence and Deep Learning in Pathology》作者：Stanley Cohen MD【PDF】

千石抚子

简介：
Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. InArtificial Intelligence and Deep Learning in Pathology, with a team of experts, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience.

烟雨红尘

全面介绍机械学习的全新核心方面

简介：随着计算算法的最新进展，以及全切片成像技术作为嵌入人工智能（AI）平台的出现，模式识别和图像解读在诊断与预后方面正在发生变革。然而，大多数病理学家对数据挖掘、机器学习和AI的了解仅限于表面知识，对于这些强大新工具在医学领域（尤其是病理学领域）的巨大潜力知之甚少。在《病理学中的人工智能与深度学习》一书中，斯坦利·科恩博士与专家团队一起全面介绍了机器学习的各个核心方面，直至人工智能技术，帮助各级经验的病理学家建立起对这些技术的熟悉度和理解力。