Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 3DSiameseNet to Analyze Brain MRI   Prediction of the cognitive evolution of a person susceptible to develop a
neurodegenerative disorder is crucial to provide an appropriate treatment as
soon as possible. In this paper we propose a 3D siamese network designed to
extract features from whole-brain 3D MRI images. We show that it is possible to
extract meaningful features using convolution layers, reducing the need of
classical image processing operations such as segmentation or pre-computing
features such as cortical thickness. To lead this study we used the Alzheimer's
Disease Neuroimaging Initiative (ADNI), a public data base of 3D MRI brain
images. A set of 247 subjects has been extracted, all of the subjects having 2
images in a range of 12 months. In order to measure the evolution of the
patients states we have compared these 2 images. Our work has been inspired at
the beginning by an article of Bhagwat et al. in 2018, who have proposed a
siamese network to predict the status of patients but without any convolutional
layers and reducing the MRI images to a vector of features extracted from
predefined ROIs. We show that our network achieves an accuracy of 90\% in the
classification of cognitively declining VS stable patients. This result has
been obtained without the help of a cognitive score and with a small number of
patients comparing to the current datasets size claimed in deep learning
domain.

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The categories of this paper are: patt-sol
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
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The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
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The categories of this paper are: q-alg
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The categories of this paper are: hep-ph
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The categories of this paper are: math-ph
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The categories of this paper are: acc-phys