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Relation-Aware Spreadsheets for Multimodal Volume Segmentation and Visualization

教师个人信息

姓名
巫英才 浙江大学教师主页
学院
INTL Campus
研究方向
可视化与可视分析、体育人工智能、社交网络数据分析与挖掘、工业软件
成果类型
图书章节
Machine Learning in Medical Imaging

出版物信息

章节名称
Relation-Aware Spreadsheets for Multimodal Volume Segmentation and Visualization
章节作者
Lin Zheng, Yingcai Wu & Kwan-liu Ma
章节页码
92–99
著作名称
Machine Learning in Medical Imaging
副标题
First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010, Proceedings
图书作者
Fei Wang, Pingkun Yan, Kenji Suzuki, Dinggang Shen
出版社
Springer
P-ISBN
9783642159473
E-ISBN
9783642159480
摘要

Multimodal volume data commonly found in medical imaging applications present both opportunities and challenges to segmentation and visualization tasks. This paper presents a user directed volume segmentation system. Through a spreadsheets interface, the user can interactively examine and refine segmentation results obtained from automatic clustering. In addition, the user can isolate or highlight a feature of interest in a volume based on different modalities, and see the corresponding segmented results. Our system is easy to use since the preliminary segmentation results are organized and presented to the user in a relation-aware fashion based on the spatial relations between the segmented regions. We demonstrate this system using two multimodal datasets.

DOI
https://doi.org/10.1007/978-3-642-15948-0_12

纸电馆藏信息

数据库
Springer
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