Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A multi-stream convolutional neural network for classification of
  progressive MCI in Alzheimer's disease using structural MRI images   Early diagnosis of Alzheimer's disease and its prodromal stage, also known as
mild cognitive impairment (MCI), is critical since some patients with
progressive MCI will develop the disease. We propose a multi-stream deep
convolutional neural network fed with patch-based imaging data to classify
stable MCI and progressive MCI. First, we compare MRI images of Alzheimer's
disease with cognitively normal subjects to identify distinct anatomical
landmarks using a multivariate statistical test. These landmarks are then used
to extract patches that are fed into the proposed multi-stream convolutional
neural network to classify MRI images. Next, we train the architecture in a
separate scenario using samples from Alzheimer's disease images, which are
anatomically similar to the progressive MCI ones and cognitively normal images
to compensate for the lack of progressive MCI training data. Finally, we
transfer the trained model weights to the proposed architecture in order to
fine-tune the model using progressive MCI and stable MCI data. Experimental
results on the ADNI-1 dataset indicate that our method outperforms existing
methods for MCI classification, with an F1-score of 85.96%.

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The categories of this paper are: physics
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
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The categories of this paper are: nucl-ex
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The categories of this paper are: stat
7
The categories of this paper are: hep-th
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The categories of this paper are: q-bio
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The categories of this paper are: adap-org
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The categories of this paper are: supr-con
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The categories of this paper are: math