Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Coupled TuFF-BFF Algorithm for Automatic 3D Segmentation of
  Microglia   We propose an automatic 3D segmentation algorithm for multiphoton microscopy
images of microglia. Our method is capable of segmenting tubular and blob-like
structures from noisy images. Current segmentation techniques and software fail
to capture the fine processes and soma of the microglia cells, useful for the
study of the microglia role in the brain during healthy and diseased states.
Our coupled tubularity flow field (TuFF)-blob flow field (BFF) method evolves a
level set toward the object boundary using the directional tubularity and
blobness measure of 3D images. Our method found a 20% performance increase
against state of the art segmentation methods on a dataset of 3D images of
microglia even in images with intensity heterogeneity throughout the object.
The coupled TuFF-BFF segmentation results also yielded 40% improvement in
accuracy for the ramification index of the processes, which displays the
efficacy of our method.

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The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
14
The categories of this paper are: math-ph