Genetic and Evolutionary Computation: Medical Applications
Genetic and Evolutionary Computation: Medical Applications
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遗传和进化计算：医学应用
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
S. Cagnoni
中科院分区：
文献类型：
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作者：
S. Smith;S. Cagnoni
遗传和进化计算：医学应用概述了GEC技术应用于医学和医疗保健的范围，不仅与现有的GEC从业者有关，而且与其他学科的从业者有关，特别是卫生专业人员。人们对将进化计算应用于医学问题的兴趣迅速增加，但迄今为止还没有任何文本在医学背景下介绍进化计算。通过在一个连贯的卷中解释基本的介绍理论，典型的应用领域和详细的实现，这本书将吸引从软件开发人员到医学科学家的广泛受众。围绕一组关于GEC在不同医学领域应用的九个案例研究，这本书提供了GEC在医学中应用的概述，描述了GEC用于分析医学图像和数据集、导出高级模型以及建议诊断和治疗的应用，最后提供了关于遗传和进化计算在医学中未来可能的进步的提示。探索了遗传和进化计算的快速发展领域，进化计算在医学应用领域的可行性和令人兴奋的回报的背景下。解释基本理论，典型应用和详细的实现。包括关于GEC在医学上的应用和他们预期的未来发展的一般部分，以及关于GEC在医学成像，医学数据集分析，高级建模，诊断和治疗。具有广泛的表格，插图图表和照片。
Genetic and Evolutionary Computation: Medical Applications provides an overview of the range of GEC techniques being applied to medicine and healthcare in a context that is relevant not only for existing GEC practitioners but also those from other disciplines, particularly health professionals. There is rapidly increasing interest in applying evolutionary computation to problems in medicine, but to date no text that introduces evolutionary computation in a medical context. By explaining the basic introductory theory, typical application areas and detailed implementation in one coherent volume, this book will appeal to a wide audience from software developers to medical scientists.Centred around a set of nine case studies on the application of GEC to different areas of medicine, the book offers an overview of applications of GEC to medicine, describes applications in which GEC is used to analyse medical images and data sets, derive advanced models, and suggest diagnoses and treatments, finally providing hints about possible future advancements of genetic and evolutionary computation in medicine.Explores the rapidly growing area of genetic and evolutionary computation in context of its viable and exciting payoffs in the field of medical applications.Explains the underlying theory, typical applications and detailed implementation.Includes general sections about the applications of GEC to medicine and their expected future developments, as well as specific sections on applications of GEC to medical imaging, analysis of medical data sets, advanced modelling, diagnosis and treatment.Features a wide range of tables, illustrations diagrams and photographs.