Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Contrastive Learning with Temporal Correlated Medical Images: A Case
  Study using Lung Segmentation in Chest X-Rays   Contrastive learning has been proved to be a promising technique for
image-level representation learning from unlabeled data. Many existing works
have demonstrated improved results by applying contrastive learning in
classification and object detection tasks for either natural images or medical
images. However, its application to medical image segmentation tasks has been
limited. In this work, we use lung segmentation in chest X-rays as a case study
and propose a contrastive learning framework with temporal correlated medical
images, named CL-TCI, to learn superior encoders for initializing the
segmentation network. We adapt CL-TCI from two state-of-the-art contrastive
learning methods-MoCo and SimCLR. Experiment results on three chest X-ray
datasets show that under two different segmentation backbones, U-Net and
Deeplab-V3, CL-TCI can outperform all baselines that do not incorporate any
temporal correlation in both semi-supervised learning setting and transfer
learning setting with limited annotation. This suggests that information among
temporal correlated medical images can indeed improve contrastive learning
performance. Between the two variations of CL-TCI, CL-TCI adapted from MoCo
outperforms CL-TCI adapted from SimCLR in most settings, indicating that more
contrastive samples can benefit the learning process and help the network learn
high-quality representations.

15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
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The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
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The categories of this paper are: solv-int
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The categories of this paper are: stat
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The categories of this paper are: quant-ph
1
The categories of this paper are: cs
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The categories of this paper are: astro-ph
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin