Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional
  Neural Network   Alzheimer's Disease (AD) is one of the most concerned neurodegenerative
diseases. In the last decade, studies on AD diagnosis attached great
significance to artificial intelligence (AI)-based diagnostic algorithms. Among
the diverse modality imaging data, T1-weighted MRI and 18F-FDGPET are widely
researched for this task. In this paper, we propose a novel convolutional
neural network (CNN) to fuse the multi-modality information including T1-MRI
and FDG-PDT images around the hippocampal area for the diagnosis of AD.
Different from the traditional machine learning algorithms, this method does
not require manually extracted features, and utilizes the stateof-art 3D
image-processing CNNs to learn features for the diagnosis and prognosis of AD.
To validate the performance of the proposed network, we trained the classifier
with paired T1-MRI and FDG-PET images using the ADNI datasets, including 731
Normal (NL) subjects, 647 AD subjects, 441 stable MCI (sMCI) subjects and 326
progressive MCI (pMCI) subjects. We obtained the maximal accuracies of 90.10%
for NL/AD task, 87.46% for NL/pMCI task, and 76.90% for sMCI/pMCI task. The
proposed framework yields comparative results against state-of-the-art
approaches. Moreover, the experimental results have demonstrated that (1)
segmentation is not a prerequisite by using CNN, (2) the hippocampal area
provides enough information to give a reference to AD diagnosis. Keywords:
Alzheimer's Disease, Multi-modality, Image Classification, CNN, Deep Learning,
Hippocampal

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The categories of this paper are: hep-ph
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
6
The categories of this paper are: astro-ph
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin