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Titlebook: BioMedical Visualization; Past Work, Current T Katarína Furmanová,Barbora Kozlíková,Renata Georgi Book 2025 The Editor(s) (if applicable) a

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发表于 2025-3-21 17:44:56 | 显示全部楼层 |阅读模式
期刊全称BioMedical Visualization
期刊简称Past Work, Current T
影响因子2023Katarína Furmanová,Barbora Kozlíková,Renata Georgi
视频video
发行地址Identifies past, current, and potential trends in biomedical visualization applications and research.Discusses past applications, notable successes, and future challenges for visualization in medicine
学科分类Synthesis Lectures on Visualization
图书封面Titlebook: BioMedical Visualization; Past Work, Current T Katarína Furmanová,Barbora Kozlíková,Renata Georgi Book 2025 The Editor(s) (if applicable) a
影响因子.This book provides an overview of the many visualization strategies that have been proposed in recent decades for solving problems within the disciplines of medicine and biology. It also evaluates which visualization techniques applied to various areas of biomedicine have been the most impactful and which challenges can be considered solved using visualization. The topics covered in this book include visualization research in omics, interaction networks and pathways, biological structures, tumor diagnosis and treatment, vasculature, brain, surgery, educational contexts, therapy and rehabilitation, electronic health records, and public health. One chapter is dedicated to general visualization techniques commonly used for biomedical data, such as surface and volume rendering, as well as abstract and illustrative approaches. For each of these areas, the past and present research trends are discussed, highlighting the influential works. Furthermore, the book explains how research is affected by developments in technology, data availability, and domain practice. Individual sections also summarize the typical target users, the nature of the data, and the typical tasks addressed in the g
Pindex Book 2025
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https://doi.org/10.1007/978-3-642-30328-9ind. This chapter focuses on an overview of the most commonly used techniques in BioMedVis and their evolution. We also include references to important surveys that cover each of the discussed topics in greater detail. Firstly, the chapter introduces techniques dealing with data labeling and uncerta
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https://doi.org/10.1007/978-3-031-66789-3Biological Visualization; Omics Visualization; Interaction Networks; Pathway Visualization; Medical Visu
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