Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Learning of Diffuse Optical Tomography based on Time-Domain
  Radiative Transfer Equation   Near infrared diffuse optical tomography (DOT) provides an imaging modality
for the oxygenation of tissue. In this paper, we propose a novel machine
learning algorithm based on time-domain radiative transfer equation. We use
temporal profiles of absorption measure for a two-dimensional model of target
tissue, which are calculated by solving time-domain radiative transfer
equation. Applying a long-short-term memory (LSTM) deep learning method, we
find that we can specify positions of cancer cells with high accuracy rates. We
demonstrate that the present algorithm can also predict multiple or extended
cancer cells.

36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph