Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CycleMix: A Holistic Strategy for Medical Image Segmentation from
  Scribble Supervision   Curating a large set of fully annotated training data can be costly,
especially for the tasks of medical image segmentation. Scribble, a weaker form
of annotation, is more obtainable in practice, but training segmentation models
from limited supervision of scribbles is still challenging. To address the
difficulties, we propose a new framework for scribble learning-based medical
image segmentation, which is composed of mix augmentation and cycle consistency
and thus is referred to as CycleMix. For augmentation of supervision, CycleMix
adopts the mixup strategy with a dedicated design of random occlusion, to
perform increments and decrements of scribbles. For regularization of
supervision, CycleMix intensifies the training objective with consistency
losses to penalize inconsistent segmentation, which results in significant
improvement of segmentation performance. Results on two open datasets, i.e.,
ACDC and MSCMRseg, showed that the proposed method achieved exhilarating
performance, demonstrating comparable or even better accuracy than the
fully-supervised methods. The code and expert-made scribble annotations for
MSCMRseg are publicly available at https://github.com/BWGZK/CycleMix.

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The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
22
The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg
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The categories of this paper are: supr-con
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The categories of this paper are: stat
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The categories of this paper are: nucl-ex
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The categories of this paper are: nucl-th
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The categories of this paper are: plasm-ph
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The categories of this paper are: cmp-lg