Conference item
3-D density kernel estimation for counting in microscopy image volumes using 3-D image filters and random decision trees
- Abstract:
-
We describe a means through which cells can be accurately counted in 3-D microscopy image data, using only weakly annotated images as input training material. We update an existing 2-D density kernel estimation approach into 3-D and we introduce novel 3-D features which encapsulate the 3-D neighbourhood surrounding each voxel. The proposed 3-D density kernel estimation (DKE-3-D) method, which utilises an ensemble of random decision trees, is computationally efficient and achieves state-of-the...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Accepted manuscript, pdf, 1.3MB)
-
- Publisher copy:
- 10.1007/978-3-319-46604-0_18
Authors
Funding
+ Wellcome Trust
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Funding agency for:
Davis, I
Grant:
Senior Research Fellowship
(081858
104924/14/Z/14
+ British Heart Foundation Oxford Centre of Regenerative Medicine
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Funding agency for:
Lalwani, M
Patient, R
Grant:
RM/13/3/30159
RM/13/3/30159
+ Engineering and Physical
Sciences Research Council
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Funding agency for:
Waithe, D
Hailstone, M
Grant:
EP/L016052/1
EP/L016052/1
Bibliographic Details
- Publisher:
- Springer, Cham Publisher's website
- Host title:
- European Conference on Computer Vision: ECCV 2016: Computer Vision – ECCV 2016 Workshops
- Series:
- Lecture Notes in Computer Science
- Volume:
- 9913
- Pages:
- 244-255
- Publication date:
- 2016-01-01
- Acceptance date:
- 2016-07-08
- DOI:
- ISSN:
-
0302-9743
- ISBN:
- 9783319466033
Item Description
- Keywords:
- Pubs id:
-
pubs:636515
- UUID:
-
uuid:dc18f849-635d-4ce1-9bf0-18b2f959846d
- Local pid:
- pubs:636515
- Source identifiers:
-
636515
- Deposit date:
- 2016-08-08
Terms of use
- Copyright holder:
- Springer International Publishing Switzerland
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 Springer International Publishing Switzerland. This is the accepted manuscript version of the article. The final version is available online from Springer at: 10.1007/978-3-319-46604-0_18
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