Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Classification of Hepatic Lesions using the Matching Metric   In this paper we present a methodology of classifying hepatic (liver) lesions
using multidimensional persistent homology, the matching metric (also called
the bottleneck distance), and a support vector machine. We present our
classification results on a dataset of 132 lesions that have been outlined and
annotated by radiologists. We find that topological features are useful in the
classification of hepatic lesions. We also find that two-dimensional persistent
homology outperforms one-dimensional persistent homology in this application.

25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th