Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A multistep segmentation algorithm for vessel extraction in medical
  imaging   The main contribution of this paper is to propose an iterative procedure for
tubular structure segmentation of 2D images, which combines tight frame of
Curvelet transforms with a SURE technique thresholding which is based on
principle obtained by minimizing Stein Unbiased Risk Estimate for denoising.
This proposed algorithm is mainly based on the TFA proposal presented in [1,
9], which we use eigenvectors of Hessian matrix of image for improving this
iterative part in segmenting unclear and narrow vessels and filling the gap
between separate pieces of detected vessels. The experimental results are
presented to demonstrate the effectiveness of the proposed model.

19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an