Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 3D Cell Nuclei Segmentation with Balanced Graph Partitioning   Cell nuclei segmentation is one of the most important tasks in the analysis
of biomedical images. With ever-growing sizes and amounts of three-dimensional
images to be processed, there is a need for better and faster segmentation
methods. Graph-based image segmentation has seen a rise in popularity in recent
years, but is seen as very costly with regard to computational demand. We
propose a new segmentation algorithm which overcomes these limitations. Our
method uses recursive balanced graph partitioning to segment foreground
components of a fast and efficient binarization. We construct a model for the
cell nuclei to guide the partitioning process. Our algorithm is compared to
other state-of-the-art segmentation algorithms in an experimental evaluation on
two sets of realistically simulated inputs. Our method is faster, has similar
or better quality and an acceptable memory overhead.

2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg