Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion   Automatic segmentation methods are important tools for quantitative analysis
of Magnetic Resonance Images (MRI). Recently, patch-based label fusion
approaches have demonstrated state-of-the-art segmentation accuracy. In this
paper, we introduce a new patch-based label fusion framework to perform
segmentation of anatomical structures. The proposed approach uses an Optimized
PAtchMatch Label fusion (OPAL) strategy that drastically reduces the
computation time required for the search of similar patches. The reduced
computation time of OPAL opens the way for new strategies and facilitates
processing on large databases. In this paper, we investigate new perspectives
offered by OPAL, by introducing a new multi-scale and multi-feature framework.
During our validation on hippocampus segmentation we use two datasets: young
adults in the ICBM cohort and elderly adults in the EADC-ADNI dataset. For
both, OPAL is compared to state-of-the-art methods. Results show that OPAL
obtained the highest median Dice coefficient (89.9% for ICBM and 90.1% for
EADC-ADNI). Moreover, in both cases, OPAL produced a segmentation accuracy
similar to inter-expert variability. On the EADC-ADNI dataset, we compare the
hippocampal volumes obtained by manual and automatic segmentation. The volumes
appear to be highly correlated that enables to perform more accurate separation
of pathological populations.

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The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
3
The categories of this paper are: physics
2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph