2012
DOI: 10.3414/me11-02-0028
|View full text |Cite
|
Sign up to set email alerts
|

Semantic Localization-driven Partial Image Retrieval in CT Series

Abstract: Our proposed method for flexible, context-based, partial image retrieval enables the user to directly focus on the relevant portion of the image material and it targets the high potential of I/O cost reduction of a common PACS.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2012
2012
2014
2014

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 15 publications
0
2
0
Order By: Relevance
“…As so-called focus themes, seven areas of research were highlighted and discussed: Recent developments in boosting methodology (e.g., [13], [14], [15]), intelligent data analysis for knowledge discovery, patient monitoring, and quality assessment (e.g., [16], [17] [18]), grid and cloud computing in biomedical research (19, [20], [21], [22]), two topics of medical imaging, one of high performance methods ( [23], [24]) and another one on image analysis and modelling (e.g., [25], [26], [27]), health information search, combining text, visual Information, and knowledge bases (e.g., [28], [29], [30]), and web science in medicine and health care ( [31], [32], [33]). Most of these themes have also been addressed in other publications, outside these focus themes.…”
Section: Major Topics Discussed In Mimmentioning
confidence: 99%
“…As so-called focus themes, seven areas of research were highlighted and discussed: Recent developments in boosting methodology (e.g., [13], [14], [15]), intelligent data analysis for knowledge discovery, patient monitoring, and quality assessment (e.g., [16], [17] [18]), grid and cloud computing in biomedical research (19, [20], [21], [22]), two topics of medical imaging, one of high performance methods ( [23], [24]) and another one on image analysis and modelling (e.g., [25], [26], [27]), health information search, combining text, visual Information, and knowledge bases (e.g., [28], [29], [30]), and web science in medicine and health care ( [31], [32], [33]). Most of these themes have also been addressed in other publications, outside these focus themes.…”
Section: Major Topics Discussed In Mimmentioning
confidence: 99%
“…Cavallaro et al describe in [9] a system to identify structures in images and thus allow retrieving only partial volumes, which can help in making radiology work more efficient by saving loading time. Such a system is made possible through visually identifying structures in 3D and then allowing radiologists to navigate by anatomic region or by marking a similar volume of interest and finding similar volumes in other data sets.…”
Section: Papers In This Focus Themementioning
confidence: 99%