Matches in SemOpenAlex for { <https://semopenalex.org/work/W3196274803> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W3196274803 endingPage "2074" @default.
- W3196274803 startingPage "2060" @default.
- W3196274803 abstract "Alzheimer's disease is a subject of substantial concern with ample scope for novel discoveries in the field of modern computational medical study for its reputation of being one of the most exorbitant and life-threatening neurodegenerative diseases of the current age. The prime objective of this research is to develop a system that can automatically detect three stages of Alzheimer's disease—Alzheimer's dementia, mild cognitive impairment, and cognitively normal using the traditional machine learning approaches. The dataset collected from Alzheimer's Disease Neuroimaging Initiative containing three types of data as mentioned above with labeled images is used throughout the research. In the proposed method, contrast limited adaptive histogram equalization handles the qualitative visual distortion in advance of feature calculation. Three distinct types of features are identified from structural MR images such as textural, orientational, and spatial features as the gray-level co-occurrence matrix, histogram of oriented gradients, and vector of locally aggregated descriptors. Apart from this, principal component analysis and minimum redundancy maximum relevance operate on the generated feature set for dimensionality reduction and to confer a comparative perspective as well. Experiments conducted upon the availed dataset exhibit that the proposed methodology outperforms other noteworthy existing methods for multiclass detection of Alzheimer's disease achieving accuracy ranging from 94% to 97% with respect to the feature set and models in action. Moreover, a significant outcome is found after applying the findings to a new independent test dataset from the same data source." @default.
- W3196274803 created "2021-08-30" @default.
- W3196274803 creator A5029632841 @default.
- W3196274803 creator A5046419885 @default.
- W3196274803 creator A5072317896 @default.
- W3196274803 date "2021-06-30" @default.
- W3196274803 modified "2023-09-23" @default.
- W3196274803 title "Machine learning‐based tri‐stage classification of Alzheimer's progressive neurodegenerative disease using <scp>PCA</scp> and <scp>mRMR</scp> administered textural, orientational, and spatial features" @default.
- W3196274803 cites W2012592962 @default.
- W3196274803 cites W2061567202 @default.
- W3196274803 cites W2065338300 @default.
- W3196274803 cites W2103924867 @default.
- W3196274803 cites W2154053567 @default.
- W3196274803 cites W2169281690 @default.
- W3196274803 cites W2345093711 @default.
- W3196274803 cites W2413582275 @default.
- W3196274803 cites W2469823050 @default.
- W3196274803 cites W2517085803 @default.
- W3196274803 cites W2543932557 @default.
- W3196274803 cites W2559903050 @default.
- W3196274803 cites W2606436201 @default.
- W3196274803 cites W2777315026 @default.
- W3196274803 cites W2783944165 @default.
- W3196274803 cites W2789337348 @default.
- W3196274803 cites W2841732318 @default.
- W3196274803 cites W2894332006 @default.
- W3196274803 cites W2905035821 @default.
- W3196274803 cites W2910094916 @default.
- W3196274803 cites W2911442010 @default.
- W3196274803 cites W2919692498 @default.
- W3196274803 cites W2927712622 @default.
- W3196274803 cites W2944541202 @default.
- W3196274803 cites W2945788646 @default.
- W3196274803 cites W2946720770 @default.
- W3196274803 cites W2949980035 @default.
- W3196274803 cites W2964629181 @default.
- W3196274803 cites W2968726102 @default.
- W3196274803 cites W2990581109 @default.
- W3196274803 cites W2997873617 @default.
- W3196274803 cites W3016323062 @default.
- W3196274803 cites W4210987525 @default.
- W3196274803 doi "https://doi.org/10.1002/ima.22622" @default.
- W3196274803 hasPublicationYear "2021" @default.
- W3196274803 type Work @default.
- W3196274803 sameAs 3196274803 @default.
- W3196274803 citedByCount "6" @default.
- W3196274803 countsByYear W31962748032021 @default.
- W3196274803 countsByYear W31962748032022 @default.
- W3196274803 countsByYear W31962748032023 @default.
- W3196274803 crossrefType "journal-article" @default.
- W3196274803 hasAuthorship W3196274803A5029632841 @default.
- W3196274803 hasAuthorship W3196274803A5046419885 @default.
- W3196274803 hasAuthorship W3196274803A5072317896 @default.
- W3196274803 hasConcept C119857082 @default.
- W3196274803 hasConcept C12267149 @default.
- W3196274803 hasConcept C153180895 @default.
- W3196274803 hasConcept C154945302 @default.
- W3196274803 hasConcept C15744967 @default.
- W3196274803 hasConcept C169760540 @default.
- W3196274803 hasConcept C27438332 @default.
- W3196274803 hasConcept C41008148 @default.
- W3196274803 hasConcept C58693492 @default.
- W3196274803 hasConceptScore W3196274803C119857082 @default.
- W3196274803 hasConceptScore W3196274803C12267149 @default.
- W3196274803 hasConceptScore W3196274803C153180895 @default.
- W3196274803 hasConceptScore W3196274803C154945302 @default.
- W3196274803 hasConceptScore W3196274803C15744967 @default.
- W3196274803 hasConceptScore W3196274803C169760540 @default.
- W3196274803 hasConceptScore W3196274803C27438332 @default.
- W3196274803 hasConceptScore W3196274803C41008148 @default.
- W3196274803 hasConceptScore W3196274803C58693492 @default.
- W3196274803 hasIssue "4" @default.
- W3196274803 hasLocation W31962748031 @default.
- W3196274803 hasOpenAccess W3196274803 @default.
- W3196274803 hasPrimaryLocation W31962748031 @default.
- W3196274803 hasRelatedWork W1579270119 @default.
- W3196274803 hasRelatedWork W2008326590 @default.
- W3196274803 hasRelatedWork W2029718921 @default.
- W3196274803 hasRelatedWork W2358824780 @default.
- W3196274803 hasRelatedWork W2366390874 @default.
- W3196274803 hasRelatedWork W2380927352 @default.
- W3196274803 hasRelatedWork W3004377704 @default.
- W3196274803 hasRelatedWork W3178621026 @default.
- W3196274803 hasRelatedWork W4205958290 @default.
- W3196274803 hasRelatedWork W4225691219 @default.
- W3196274803 hasVolume "31" @default.
- W3196274803 isParatext "false" @default.
- W3196274803 isRetracted "false" @default.
- W3196274803 magId "3196274803" @default.
- W3196274803 workType "article" @default.