Matches in SemOpenAlex for { <https://semopenalex.org/work/W3216844549> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W3216844549 abstract "Alzheimer’s disease (AD) is a long-term condition that causes brain areas such as memory, recognition, judgment, and speech to deteriorate. Classification of AD using neuroimaging data like MRI using artificial intelligence has become a focus of current research. Likewise, deep learning recent breakthrough in computer vision has accelerated similar research. However, fundamental shortcomings of such algorithms include their dependency on a wide range of training datasets and the need for rigorous optimization of neural network architecture. In this paper, the deep learning approach 2D-Convolutional Neural Network (CNN) has been employed to analyse architectural significance in boosting the diagnosis accuracy of different classes of images-mild, very mild, moderate, and non-demented concerning AD with parameter optimization on neuroimaging dataset. Finally, the classification accuracy using the 2D-CNN architecture considering the impact of parameters such as dense units, dropout rate, and optimizers has led to 6.83% of Relative Improvement (RI) in contrast to the base model being developed." @default.
- W3216844549 created "2021-12-06" @default.
- W3216844549 creator A5040850609 @default.
- W3216844549 creator A5076299882 @default.
- W3216844549 creator A5084101049 @default.
- W3216844549 date "2021-10-07" @default.
- W3216844549 modified "2023-09-27" @default.
- W3216844549 title "Classification of Alzheimer’s disease using Neuroimaging Data by Convolution Neural Network" @default.
- W3216844549 cites W2105037799 @default.
- W3216844549 cites W2146089088 @default.
- W3216844549 cites W2523104495 @default.
- W3216844549 cites W2534299759 @default.
- W3216844549 cites W2585885738 @default.
- W3216844549 cites W2604192360 @default.
- W3216844549 cites W2791282053 @default.
- W3216844549 cites W2805494981 @default.
- W3216844549 cites W2900207554 @default.
- W3216844549 cites W2905300705 @default.
- W3216844549 cites W2919115771 @default.
- W3216844549 cites W2936743816 @default.
- W3216844549 cites W2942882625 @default.
- W3216844549 cites W2995495466 @default.
- W3216844549 cites W3005273529 @default.
- W3216844549 cites W3083182708 @default.
- W3216844549 cites W3181011402 @default.
- W3216844549 cites W66427752 @default.
- W3216844549 doi "https://doi.org/10.1109/ispcc53510.2021.9609431" @default.
- W3216844549 hasPublicationYear "2021" @default.
- W3216844549 type Work @default.
- W3216844549 sameAs 3216844549 @default.
- W3216844549 citedByCount "3" @default.
- W3216844549 countsByYear W32168445492022 @default.
- W3216844549 countsByYear W32168445492023 @default.
- W3216844549 crossrefType "proceedings-article" @default.
- W3216844549 hasAuthorship W3216844549A5040850609 @default.
- W3216844549 hasAuthorship W3216844549A5076299882 @default.
- W3216844549 hasAuthorship W3216844549A5084101049 @default.
- W3216844549 hasConcept C108583219 @default.
- W3216844549 hasConcept C119857082 @default.
- W3216844549 hasConcept C153180895 @default.
- W3216844549 hasConcept C154945302 @default.
- W3216844549 hasConcept C15744967 @default.
- W3216844549 hasConcept C169760540 @default.
- W3216844549 hasConcept C2776145597 @default.
- W3216844549 hasConcept C41008148 @default.
- W3216844549 hasConcept C46686674 @default.
- W3216844549 hasConcept C50644808 @default.
- W3216844549 hasConcept C58693492 @default.
- W3216844549 hasConcept C81363708 @default.
- W3216844549 hasConceptScore W3216844549C108583219 @default.
- W3216844549 hasConceptScore W3216844549C119857082 @default.
- W3216844549 hasConceptScore W3216844549C153180895 @default.
- W3216844549 hasConceptScore W3216844549C154945302 @default.
- W3216844549 hasConceptScore W3216844549C15744967 @default.
- W3216844549 hasConceptScore W3216844549C169760540 @default.
- W3216844549 hasConceptScore W3216844549C2776145597 @default.
- W3216844549 hasConceptScore W3216844549C41008148 @default.
- W3216844549 hasConceptScore W3216844549C46686674 @default.
- W3216844549 hasConceptScore W3216844549C50644808 @default.
- W3216844549 hasConceptScore W3216844549C58693492 @default.
- W3216844549 hasConceptScore W3216844549C81363708 @default.
- W3216844549 hasLocation W32168445491 @default.
- W3216844549 hasOpenAccess W3216844549 @default.
- W3216844549 hasPrimaryLocation W32168445491 @default.
- W3216844549 hasRelatedWork W2163969215 @default.
- W3216844549 hasRelatedWork W2572787276 @default.
- W3216844549 hasRelatedWork W2901435809 @default.
- W3216844549 hasRelatedWork W3110443126 @default.
- W3216844549 hasRelatedWork W3186919929 @default.
- W3216844549 hasRelatedWork W3216844549 @default.
- W3216844549 hasRelatedWork W4205549623 @default.
- W3216844549 hasRelatedWork W4214895820 @default.
- W3216844549 hasRelatedWork W4245792239 @default.
- W3216844549 hasRelatedWork W3009789068 @default.
- W3216844549 isParatext "false" @default.
- W3216844549 isRetracted "false" @default.
- W3216844549 magId "3216844549" @default.
- W3216844549 workType "article" @default.