A novel adaptive dual swarm intelligence based image quality enhancement approach with the modified SegNet -RBM-based Alzheimer Segmentation and classification-Reference-Cited by-同舟云学术

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A novel adaptive dual swarm intelligence based image quality enhancement approach with the modified SegNet -RBM-based Alzheimer Segmentation and classification

Published:2023-09-12 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Anitha Raju,Dasari Durga Bhavani,Vivek P. Sandalya Sai,Kakarla Naga Madhavi Latha,Kumar M. Sirish

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16486-4.pdf

Reference27 articles.

1. Ahmed S et al (2019) Ensembles of patch-based classifiers for diagnosis of Alzheimer Diseases. IEEE Access 7:73373–73383

2. Ashtari-Majlan M, Seifi A, Dehshibi MM (2022) A multi-stream convolutional neural network for classification of progressive MCI in Alzheimer’s Disease using structural MRI images. IEEE J Biomed Health Inform 26(8):3918–3926

3. Basher A, Kim BC, Lee KH, Jung HY (2021) Volumetric feature-based Alzheimer’s Disease diagnosis from sMRI data using a convolutional neural network and a deep neural network. IEEE Access 9:29870–29882

4. Brand L, Nichols K, Wang H, Shen L, Huang H (2020) Joint multi-modal longitudinal regression and classification for Alzheimer’s Disease prediction. IEEE Trans Med Imaging 39(6):1845–1855

5. Dao Q, El-Yacoubi MA, Rigaud A-S (2023) Detection of Alzheimer Disease on online handwriting using 1D convolutional neural network. IEEE Access 11:2148–2155

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