Journal ArticleDOI
Differentiation of early mild cognitive impairment in brainstem MR images using multifractal detrended moving average singularity spectral features
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TLDR
3D brain stem structure is segmented and analysed for texture alterations using multifractal features to differentiate EMCI from other Alzheimer’s disease stages and results indicate that the proposed technique is able to segment the brainstem structure from all the considered images.About:
This article is published in Biomedical Signal Processing and Control.The article was published on 2020-03-01. It has received 9 citations till now. The article focuses on the topics: Multifractal system & Hurst exponent.read more
Citations
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Journal ArticleDOI
Differentiation of Alzheimer conditions in brain MR images using bidimensional multiscale entropy-based texture analysis of lateral ventricles
TL;DR: In this article , a multiscale entropy-based texture analysis is proposed to quantify the textural variations in images at multiple scales and complexity indices are evaluated for each scale to study textural variation.
Journal ArticleDOI
Nonlinear Statistical Analysis of Normal and Pathological Infant Cry Signals in Cepstrum Domain by Multifractal Wavelet Leaders
TL;DR: This study improves the understanding of infant crying by providing a complete description of its intrinsic dynamics to better evaluate its health status.
Journal ArticleDOI
Wavelet-based multifractal analysis of C.elegans sequences based on FCGS signal
TL;DR: The WTMM method is used to perform a multifractal analysis of the C.elegans genome and it is proved that this variability was mainly dependent on differences in the contents of repetitive DNA in each DNA sequence.
Book ChapterDOI
Multifractional Gaussian Process Based on Self-similarity Modelling for MS Subgroups’ Clustering with Fuzzy C-Means
Yeliz Karaca,Dumitru Baleanu +1 more
TL;DR: It is shown that mFd_MS dataset yielded a higher accuracy rate since the critical and significant self-similar attributes were identified in the process, and the efficiency, reliability and applicability of the proposed method is confirmed.
Journal ArticleDOI
Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images
Sreelakshmi K Shaji,Jac Fredo Agastinose Ronickom,Anandh Kilpattu Ramaniharan,S. Ramakrishnan +3 more
TL;DR: In this paper , an attempt has been made to analyze the effect of the Extreme Learning Machine (ELM) classifier and its variants in the differentiation of healthy controls (HC) and Alzheimer's disease (AD) using structural MR images.
References
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Journal ArticleDOI
Neuropathological stageing of Alzheimer-related changes.
Heiko Braak,Eva Braak +1 more
TL;DR: The investigation showed that recognition of the six stages required qualitative evaluation of only a few key preparations, permitting the differentiation of six stages.
Journal ArticleDOI
Voxel-Based Morphometry—The Methods
John Ashburner,Karl J. Friston +1 more
TL;DR: In this paper, the authors describe the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with non-uniformity artifact and provide evaluations of the assumptions that underpin the method, including the accuracy of the segmentation and the assumptions made about the statistical distribution of the data.
Journal ArticleDOI
The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.
Clifford R. Jack,Matt A. Bernstein,Nick C. Fox,Paul M. Thompson,Gene E. Alexander,Danielle J Harvey,Bret J. Borowski,Paula J. Britson,Jennifer L. Whitwell,Chadwick P. Ward,Anders M. Dale,Joel P. Felmlee,Jeffrey L. Gunter,Derek L. G. Hill,Ronald J. Killiany,Norbert Schuff,Sabrina Fox-Bosetti,Chen Lin,Colin Studholme,Charles DeCarli,Gunnar Krueger,Heidi A. Ward,Gregory J. Metzger,Katherine T. Scott,Richard Philip Mallozzi,Daniel J. Blezek,Joshua Levy,Josef Phillip Debbins,Adam S. Fleisher,Marilyn S. Albert,Robert C. Green,George Bartzokis,Gary H. Glover,John P. Mugler,Michael W. Weiner +34 more
TL;DR: The approach taken in ADNI to standardization across sites and platforms of the MRI protocol, postacquisition corrections, and phantom‐based monitoring of all scanners could be used as a model for other multisite trials.
Journal ArticleDOI
Current methods in medical image segmentation.
TL;DR: A critical appraisal of the current status of semi-automated and automated methods for the segmentation of anatomical medical images is presented, with an emphasis on the advantages and disadvantages of these methods for medical imaging applications.
Journal ArticleDOI
Mild cognitive impairment represents early-stage Alzheimer disease.
John C. Morris,Martha Storandt,J. Phillip Miller,Daniel W. McKeel,Joseph L. Price,Eugene H. Rubin,Leonard H. van den Berg +6 more
TL;DR: It is concluded that MCI generally represents early-stage AD and individuals currently characterized as having MCI progress steadily to greater stages of dementia severity at rates dependent on the level of cognitive impairment at entry and they almost always have the neuropathologic features of AD.
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