Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SynthStrip: Skull-Stripping for Any Brain Image   The removal of non-brain signal from magnetic resonance imaging (MRI) data,
known as skull-stripping, is an integral component of many neuroimage analysis
streams. Despite their abundance, popular classical skull-stripping methods are
usually tailored to images with specific acquisition properties, namely
near-isotropic resolution and T1-weighted (T1w) MRI contrast, which are
prevalent in research settings. As a result, existing tools tend to adapt
poorly to other image types, such as stacks of thick slices acquired with fast
spin-echo (FSE) MRI that are common in the clinic. While learning-based
approaches for brain extraction have gained traction in recent years, these
methods face a similar burden, as they are only effective for image types seen
during the training procedure. To achieve robust skull-stripping across a
landscape of protocols, we introduce SynthStrip, a rapid, learning-based
brain-extraction tool. By leveraging anatomical segmentations to generate an
entirely synthetic training dataset with anatomies, intensity distributions,
and artifacts that far exceed the realistic range of medical images, SynthStrip
learns to successfully generalize to a variety of real acquired brain images,
removing the need for training data with target contrasts. We demonstrate the
efficacy of SynthStrip for a diverse set of image acquisitions and resolutions
across subject populations, ranging from newborn to adult. We show substantial
improvements in accuracy over popular skull-stripping baselines - all with a
single trained model. Our method and labeled evaluation data are available at
https://w3id.org/synthstrip.

32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol