@inproceedings{e9cb868ab41b431088aa3def841ec69b,
title = "Relation-aware spreadsheets for multimodal volume segmentation and visualization",
abstract = "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.",
keywords = "Multimodal Volume Data, Segmentation, User Interface, Visualization",
author = "Lin Zheng and Yingcai Wu and Kwan-Liu Ma",
year = "2010",
month = "10",
day = "25",
doi = "10.1007/978-3-642-15948-0_12",
language = "English (US)",
isbn = "3642159478",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "92--99",
booktitle = "Machine Learning in Medical Imaging - First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Proceedings",
note = "1st International Workshop on Machine Learning in Medical Imaging, MLMI 2010, Held in Conjunction with MICCAI 2010 ; Conference date: 20-09-2010 Through 20-09-2010",
}