@article {10.3844/amjnsp.2018.1.10,
article_type = {journal},
title = {A Comprehensive Survey on Tools for Effective Alzheimer’s Disease Detection},
author = {Vinutha, N. and Vasanthakumar, G. U. and Shenoy, P. Deepa and Venugopal, K. R.},
volume = {9},
year = {2017},
month = {Oct},
pages = {1-10},
doi = {10.3844/amjnsp.2018.1.10},
url = {https://thescipub.com/abstract/amjnsp.2018.1.10},
abstract = {Neuroimaging is considered as a valuable technique to study the structure and function of the human brain.  Rapid advancement in medical imaging technologies has contributed significantly towards the development of neuroimaging tools. These tools focus on extracting and enhancing the relevant information from brain images, which facilitates neuroimaging experts to make better and quick decision for diagnosing enormous number of patients without requiring manual interventions. This paper describes the general outline of such tools including image file formats, ability to handle data from multiple modalities, supported platforms, implemented language, advantages and disadvantages. This brief review of tools gives a clear outlook for researchers to utilize existing techniques to handle the image data obtained from different modalities and focus further for improving and developing advanced tools.},
journal = {Neuroscience International},
publisher = {Science Publications}
}