Improved particle swarm optimized deep convolutional neural network with super‐pixel clustering for multiple sclerosis lesion segmentation in brain MRI imaging-Reference-Cited by-同舟云学术

Improved particle swarm optimized deep convolutional neural network with super‐pixel clustering for multiple sclerosis lesion segmentation in brain MRI imaging

Published:2021-08-10 Issue:9 Volume:37 Page:
ISSN:2040-7939
Container-title:International Journal for Numerical Methods in Biomedical Engineering
language:en
Short-container-title:Int J Numer Meth Biomed Engng

Author:

Krishna Priya R.¹^ORCID,Chacko Susamma²

Affiliation:

1. Department of Electrical and Communication Engineering National University of Science and Technology Oman

2. Department of Quality Enhancement and Assurance National University of Science and Technology Oman

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modelling and Simulation,Biomedical Engineering,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cnm.3506

Reference54 articles.

1. Nanocurcumin restores aberrant miRNA expression profile in multiple sclerosis, randomized, double‐blind, placebo‐controlled trial

2. Role of Cerebellar Dentate Functional Connectivity in Balance Deficits in Patients with Multiple Sclerosis

3. Predictors of vision impairment in Multiple Sclerosis

4. Multiple sclerosis exploration based on automatic MRI modalities segmentation approach with advanced volumetric evaluations for essential feature extraction

5. Optimal Task Assignment in Mobile Cloud Computing by Queue Based Ant-Bee Algorithm

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