Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Echocardiography Segmentation with Enforced Temporal Consistency   Convolutional neural networks (CNN) have demonstrated their ability to
segment 2D cardiac ultrasound images. However, despite recent successes
according to which the intra-observer variability on end-diastole and
end-systole images has been reached, CNNs still struggle to leverage temporal
information to provide accurate and temporally consistent segmentation maps
across the whole cycle. Such consistency is required to accurately describe the
cardiac function, a necessary step in diagnosing many cardiovascular diseases.
In this paper, we propose a framework to learn the 2D+time long-axis cardiac
shape such that the segmented sequences can benefit from temporal and
anatomical consistency constraints. Our method is a post-processing that takes
as input segmented echocardiographic sequences produced by any state-of-the-art
method and processes it in two steps to (i) identify spatio-temporal
inconsistencies according to the overall dynamics of the cardiac sequence and
(ii) correct the inconsistencies. The identification and correction of cardiac
inconsistencies relies on a constrained autoencoder trained to learn a
physiologically interpretable embedding of cardiac shapes, where we can both
detect and fix anomalies. We tested our framework on 98 full-cycle sequences
from the CAMUS dataset, which will be rendered public alongside this paper. Our
temporal regularization method not only improves the accuracy of the
segmentation across the whole sequences, but also enforces temporal and
anatomical consistency.

13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
14
The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
3
The categories of this paper are: physics
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
34
The categories of this paper are: chem-ph