Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fully automated deep learning based segmentation of normal, infarcted
  and edema regions from multiple cardiac MRI sequences   Myocardial characterization is essential for patients with myocardial
infarction and other myocardial diseases, and the assessment is often performed
using cardiac magnetic resonance (CMR) sequences. In this study, we propose a
fully automated approach using deep convolutional neural networks (CNN) for
cardiac pathology segmentation, including left ventricular (LV) blood pool,
right ventricular blood pool, LV normal myocardium, LV myocardial edema (ME)
and LV myocardial scars (MS). The input to the network consists of three CMR
sequences, namely, late gadolinium enhancement (LGE), T2 and balanced steady
state free precession (bSSFP). The proposed approach utilized the data provided
by the MyoPS challenge hosted by MICCAI 2020 in conjunction with STACOM. The
training set for the CNN model consists of images acquired from 25 cases, and
the gold standard labels are provided by trained raters and validated by
radiologists. The proposed approach introduces a data augmentation module,
linear encoder and decoder module and a network module to increase the number
of training samples and improve the prediction accuracy for LV ME and MS. The
proposed approach is evaluated by the challenge organizers with a test set
including 20 cases and achieves a mean dice score of $46.8\%$ for LV MS and
$55.7\%$ for LV ME+MS

23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol