Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective. Noor, M. B. T., Zenia, N. Z., Kaiser, M. S., Mahmud, M., & Al Mamun, S. In Liang, P., Goel, V., & Shan, C., editors, Brain Informatics, of Lecture Notes in Computer Science, pages 115–125, Cham, 2019. Springer International Publishing. doi abstract bibtex 1 download Rapid development of high speed computing devices and infrastructure along with improved understanding of deep machine learning techniques during the last decade have opened up possibilities for advanced analysis of neuroimaging data. Using those computing tools Neuroscientists now can identify Neurodegenerative diseases from neuroimaging data. Due to the similarities in disease phenotypes, accurate detection of such disorders from neuroimaging data is very challenging. In this article, we have reviewed the methodological research papers proposing to detect neurodegenerative diseases using deep machine learning techniques only from MRI data. The results show that deep learning based techniques can detect the level of disorder with relatively high accuracy. Towards the end, current challenges are reviewed and some possible future research directions are provided.
@inproceedings{noor_detecting_2019,
address = {Cham},
series = {Lecture {Notes} in {Computer} {Science}},
title = {Detecting {Neurodegenerative} {Disease} from {MRI}: {A} {Brief} {Review} on a {Deep} {Learning} {Perspective}},
isbn = {978-3-030-37078-7},
shorttitle = {Detecting {Neurodegenerative} {Disease} from {MRI}},
doi = {10.1007/978-3-030-37078-7_12},
abstract = {Rapid development of high speed computing devices and infrastructure along with improved understanding of deep machine learning techniques during the last decade have opened up possibilities for advanced analysis of neuroimaging data. Using those computing tools Neuroscientists now can identify Neurodegenerative diseases from neuroimaging data. Due to the similarities in disease phenotypes, accurate detection of such disorders from neuroimaging data is very challenging. In this article, we have reviewed the methodological research papers proposing to detect neurodegenerative diseases using deep machine learning techniques only from MRI data. The results show that deep learning based techniques can detect the level of disorder with relatively high accuracy. Towards the end, current challenges are reviewed and some possible future research directions are provided.},
language = {en},
booktitle = {Brain {Informatics}},
publisher = {Springer International Publishing},
author = {Noor, Manan Binth Taj and Zenia, Nusrat Zerin and Kaiser, M. Shamim and Mahmud, Mufti and Al Mamun, Shamim},
editor = {Liang, Peipeng and Goel, Vinod and Shan, Chunlei},
year = {2019},
keywords = {Alzheimer’s disease, MRI, Machine learning, Parkinson’s disease, Schizophrenia},
pages = {115--125},
}
Downloads: 1
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