Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dynamic radiomics: a new methodology to extract quantitative
  time-related features from tomographic images   The feature extraction methods of radiomics are mainly based on static
tomographic images at a certain moment, while the occurrence and development of
disease is a dynamic process that cannot be fully reflected by only static
characteristics. This study proposes a new dynamic radiomics feature extraction
workflow that uses time-dependent tomographic images of the same patient,
focuses on the changes in image features over time, and then quantifies them as
new dynamic features for diagnostic or prognostic evaluation. We first define
the mathematical paradigm of dynamic radiomics and introduce three specific
methods that can describe the transformation process of features over time.
Three different clinical problems are used to validate the performance of the
proposed dynamic feature with conventional 2D and 3D static features.

33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph