Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fully Automated Segmentation of the Left Ventricle in Magnetic Resonance
  Images   Automatic and robust segmentation of the left ventricle (LV) in magnetic
resonance images (MRI) has remained challenging for many decades. With the
great success of deep learning in object detection and classification, the
research focus of LV segmentation has changed to convolutional neural network
(CNN) in recent years. However, LV segmentation is a pixel-level classification
problem and its categories are intractable compared to object detection and
classification. Although lots of CNN based methods have been proposed for LV
segmentation, no robust and reproducible results are achieved yet. In this
paper, we try to reproduce the CNN based LV segmentation methods with their
disclosed codes and trained CNN models. Not surprisingly, the reproduced
results are significantly worse than their claimed accuracies. We also proposed
a fully automated LV segmentation method based on slope difference distribution
(SDD) threshold selection to compare with the reproduced CNN methods. The
proposed method achieved 95.44% DICE score on the test set of automated cardiac
diagnosis challenge (ACDC) while the two compared CNN methods achieved 90.28%
and 87.13% DICE scores. Our achieved accuracy is also higher than the best
accuracy reported in the published literatures. The MATLAB codes of our
proposed method are freely available on line.

28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas