Non-white matter tissue extraction and deep convolutional neural network for Alzheimer’s disease detection-Reference-Cited by-同舟云学术

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Non-white matter tissue extraction and deep convolutional neural network for Alzheimer’s disease detection

Published:2018-08-03 Issue:20 Volume:22 Page:6825-6833
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Vu Tien-Duong,Ho Ngoc-Huynh,Yang Hyung-Jeong,Kim Jahae,Song Ho-Chun

Funder

Korean government

Information Technology Research Center

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-018-3421-5/fulltext.html

Reference36 articles.

1. Agarwal J, Bedi SS (2015) Implementation of hybrid image fusion technique for feature enhancement in medical diagnosis. Human-centric Comput Inf Sci 5:3

2. Alzheimer’s Association (2014) Alzheimer’s disease facts and figures. Alzheimer’s & Dementia, pp e47–e92

3. Batmanghelich N, Taskar B, Davatzikos C (2009) A general and unifying framework for feature construction, in image-based pattern classification. Inf Process Med Imaging 21:423–434

4. Bottou L (2010) Large-scale machine learning with stochastic gradient descent. In: COMPSTAT’2010, pp 177–186

5. Bron EE, Smits D, van der Flier WM et al (2015) Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CAD dementia challenge. NeuroImage 111:562

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