人工智能在癌症诊断和治疗中的应用

English | 2023 | ISBN: 3036566724 | 672 pages | True PDF | 139.7 MB

This reprint covers some significant impacts in the recent research in both the private and public sectors of cancer diagnosis and therapy, in which Artificial Intelligence (AI) and Machine Learning are significant. This reprint is also a collection of forty different complex and challenging problems arranged in five groups: AI in prognosis, grading, and prediction, AI in clinical image analysis, AI models for pathological diagnosis, ML and statistical models for molecular cancer diagnostics and genetics, and AI in triage, risk stratification, and screening cancer, which are all focused on using AI in cancer diagnosis and therapy.

All the necessary concepts, solutions, methodologies, and references are supplied except for some fundamental knowledge that is well-known in the general fields of AI and cancer diagnosis and therapy. The readers may, therefore, gain the main concepts of each chapter, with as little of a need as possible to refer to the concepts of the other chapters and references. The readers may hence start to read one or more chapters of the book for their own interests.

这本再版涵盖了私人和公共部门近期在癌症诊断与治疗领域中的一些重要影响，特别是在人工智能（AI）和机器学习方面的研究。这本再版也是由五个组排列的四十个复杂且具有挑战性的问题集合：用于预测、分级和预后的AI，临床图像分析中的AI，病理诊断的AI模型，分子癌症诊断和遗传学用的ML与统计模型，以及用于分诊、风险分层和筛查癌症的AI，这些都专注于在癌症诊断与治疗中使用AI。 除了某些基本知识，在人工智能领域和癌症诊断与治疗领域一般领域的知识已为读者所熟知。因此，读者可以尽可能少地参考其他章节的概念和引用，理解每一章的主要概念。因此，读者可以开始阅读本书的一章或多章，以满足自己的兴趣。

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