Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation   In this paper, we present a novel unsupervised domain adaptation (UDA)
method, named Domain Adaptive Relational Reasoning (DARR), to generalize 3D
multi-organ segmentation models to medical data collected from different
scanners and/or protocols (domains). Our method is inspired by the fact that
the spatial relationship between internal structures in medical images is
relatively fixed, e.g., a spleen is always located at the tail of a pancreas,
which serves as a latent variable to transfer the knowledge shared across
multiple domains. We formulate the spatial relationship by solving a jigsaw
puzzle task, i.e., recovering a CT scan from its shuffled patches, and jointly
train it with the organ segmentation task. To guarantee the transferability of
the learned spatial relationship to multiple domains, we additionally introduce
two schemes: 1) Employing a super-resolution network also jointly trained with
the segmentation model to standardize medical images from different domain to a
certain spatial resolution; 2) Adapting the spatial relationship for a test
image by test-time jigsaw puzzle training. Experimental results show that our
method improves the performance by 29.60% DSC on target datasets on average
without using any data from the target domain during training.

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The categories of this paper are: mtrl-th
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
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The categories of this paper are: nucl-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: solv-int
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The categories of this paper are: math-ph
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat
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The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
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The categories of this paper are: econ
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The categories of this paper are: hep-th
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The categories of this paper are: astro-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: q-alg