Conference item
Myocardial infarction detection from left ventricular shapes using a random forest
- Abstract:
-
Understanding myocardial remodelling, and developing tools for its accurate quantification, is fundamental for improving the diagnosis and treatment of myocardial infarction patients. Conventional clinical metrics, such as blood pool volume or ejection fraction, are not always distinctive. Here we describe a method for the classification of myocardial infarction from 3D diastolic and systolic left ventricle shapes, represented by point sets. Classification features included global geometric, ...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Publisher copy:
- 10.1007/978-3-319-28712-6_20
Why is the content I wish to access not available via ORA?
Bibliographic data (the information relating to research outputs) and full-text items (e.g. articles, theses, reports, etc.) arrive in ORA from several different sources. Unfortunately we are not able to make available the full-text for every research output.
Please contact the ORA team (
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
Content may be unavailable for the following four reasons
-
Version unsuitable
-
We have not obtained a suitable full-text for a given research output. See this page for more information.
-
Recently completed
-
Sometimes content is held in ORA but is unavailable for a fixed period of time to comply with the policies and wishes of rights holders.
-
Permissions
-
All content made available in ORA should comply with relevant rights, such as copyright. See this page for more information.
-
Clearance
-
Some thesis volumes scanned as part of the digitisation scheme funded by Dr Leonard Polonsky are currently unavailable due to sensitive material or uncleared third-party copyright content. We are attempting to contact authors whose theses are affected.
Alternative access to the full-text
You may be able to access the full-text directly from the publisher's website using the 'Publisher Copy' link in the 'Links & Downloads' box from a research output's ORA record page. This method may require an institutional or individual subscription to the journal/resource.
Authors
Funding
+ Biotechnology and Biological Sciences Research Council
More from this funder
Funding agency for:
Grau, V
Grant:
New Horizon Grant (NH/13/30238
+ British Heart Foundation
More from this funder
Funding agency for:
Grau, V
Grant:
New Horizon Grant (NH/13/30238
Bibliographic Details
- Publisher:
- Springer International Publishing Publisher's website
- Volume:
- Lecture Notes in Computer Science: 9534
- Pages:
- 180-189
- Host title:
- Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges : 6th International Workshop, STACOM 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers
- Publication date:
- 2016-01-01
- DOI:
- EISSN:
-
1611-3349
- ISSN:
-
0302-9743
- Source identifiers:
-
598716
- ISBN:
- 9783319287119
Item Description
- Keywords:
- Pubs id:
-
pubs:598716
- UUID:
-
uuid:fb67ab73-3004-4faf-87ec-0c405d252188
- Local pid:
- pubs:598716
- Deposit date:
- 2016-04-08
Terms of use
- Copyright holder:
- Springer International Publishing Switzerlan
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 Springer International Publishing Switzerland. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-28712-6_20.
If you are the owner of this record, you can report an update to it here: Report update to this record