Cloud-Based Benchmarking of Medical Image Analysis

Cloud-Based Benchmarking of Medical Image AnalysisISBN-10 书号: 3319496425
ISBN-13 书号: 9783319496429
Edition 版本: 1st ed. 2017
Released: 2017-06-15
Pages: 254
This book is open access under a CC BY-NC 2.5 license.
This book presents the VISCERAL project benchmarks for analysis and retrieval of 3D medical images (CT and MRI) on a large scale,which used an innovative cloud-based evaluation approach where the image data were stored centrally on a cloud infrastructure and participants placed their programs in virtual machines on the cloud. The book presents the points of view of both the organizers of the VISCERAL benchmarks and the participants.
The book is divided into five parts. Part I presents the cloud-based benchmarking and Evaluation-as-a-Service paradigm that the VISCERAL benchmarks used. Part II focuses on the datasets of medical images annotated with ground truth created in VISCERAL that continue to be available for research. It also covers the practical aspects of obtaining permission to use medical data and manually annotating 3D medical images efficiently and effectively. The VISCERAL benchmarks are described in Part III,including a presentation and analysis of metrics used in evaluation of medical image analysis and search. Lastly,Parts IV and V present reports by some of the participants in the VISCERAL benchmarks,with Part IV devoted to the anatomy benchmarks and Part V to the retrieval benchmark.
This book has two main audiences: the datasets as well as the segmentation and retrieval results are of most interest to medical imaging researchers,while eScience and computational science experts benefit from the insights into using the Evaluation-as-a-Service paradigm for evaluation and benchmarking on huge amounts of data.
Contents
Part I Evaluation-as-a-Service
Chapter 1 Visceral: Evaluation-As-A-Service For Medical Imaging
Chapter 2 Using The Cloud As A Platform For Evaluation And Data Preparation
Part II VISCERAL Datasets
Chapter 3 Ethical And Privacy Aspects Of Using Medical Image Data
Chapter 4 Annotating Medical Image Data
Chapter 5 Datasets Created In Visceral
Part III VISCERAL Benchmarks
Chapter 6 Evaluation Metrics For Medical Organ Segmentation And Lesion Detection
Chapter 7 Visceral Anatomy Benchmarks For Organ Segmentation And Landmark Localization: Tasks And Results
Chapter 8 Retrieval Of Medical Cases For Diagnostic Decisions: Visceral Retrieval Benchmark
Part IV VISCERAL Anatomy Participant Reports
Chapter 9 Automatic Atlas-Free Multiorgan Segmentation Of Contrast-Enhanced Ct Scans
Chapter 10 Multiorgan Segmentation Using Coherent Propagating Level Set Method Guided By Hierarchical Shape Priors And Local Phase Information
Chapter 11 Automatic Multiorgan Segmentation Using Hierarchically Registered Probabilistic Atlases
Chapter 12 Multiatlas Segmentation Using Robust Feature-Based Registration
Part V VISCERAL Retrieval Participant Reports
Chapter 13 Combining Radiology Images And Clinical Metadata For Multimodal Medical Case-Based Retrieval
Chapter 14 Text- And Content-Based Medical Image Retrieval In The Visceral Retrieval Benchmark
本书根据CC BY-NC 2.5许可证开放存取。
本书介绍了大量用于分析和检索3D医学图像（CT和MRI）的VISCERAL项目基准，该基准使用了创新的基于云的评估方法，其中图像数据集中存储在云基础设施上，参与者将其程序在云端的虚拟机中。本书介绍了VISCERAL基准组织者和参与者的观点。
这本书分为五部分。第一部分介绍了VISCERAL基准测试使用的基于云的基准测试和评估即服务范例。第二部分重点介绍在VISCERAL中创建的地面真实注释的医学图像数据集，这些数据集可继续用于研究。它还涵盖了获得许可使用医疗数据和手动注释3D医疗图像的实际方面。 VISCERAL基准测试在第三部分进行了描述，包括用于评估医学图像分析和搜索的指标的演示和分析。最后，第四部分和第五部分介绍了VISCERAL基准测试中的一些参与者的报告，第四部分介绍了解剖学基准，第五部分介绍了检索基准。
这本书有两个主要观众: 数据集以及分割和检索结果对医学影像研究人员最感兴趣，而eScience和计算科学专家则从对使用评估评估模式的评估和对大量数据进行基准测试。
目录
第一部分评估即服务
第一章内脏: 医学影像评估服务
第二章云作为评估和数据准备的平台
第二部分VISCERAL数据集
第3章使用医学图像数据的伦理和隐私方面
第4章注释医学图像数据
第5章在内脏中创建的数据集
第三部分VISCERAL基准
第六章医疗器械分割和病变检测评估指标
第七章器官分割和地标定位的内脏解剖学基准: 任务和结果
第8章检索诊断决策的医疗案例: 内脏检索基准
第四部分VISCERAL解剖学参与者报告
第9章对比增强Ct扫描的自动Atlas-Free多重分割
第10章使用相干传播级别集合的多重分割方法由分层形状和局部相位信息引导
第11章使用分层注册的概率图自动多重分割
第12章使用强大的基于特征的注册进行多重分段
第五部分VISCERAL检索参与者报告
第13章结合放射学图像和临床元数据进行多模态医学病例检索
第14章基于文本和内容的医学图像检索在内脏检索基准