Super Resolution of MR Brain Images Using Compressive Sensing and Fuzzy Logical Rules
Author:
Affiliation:
1. Jawaharlal Nehru Technological University Anantapur, India
2. G.Pullaiah College of Engineering & Technology, India
Publisher
FapUNIFESP (SciELO)
Subject
Multidisciplinary
Link
http://www.scielo.br/pdf/babt/v64/1516-8913-babt-64-e21200217.pdf
Reference22 articles.
1. Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study;Raghavendra U;Future Generation Comp Syst,2019
2. Unsupervised segmentation, clustering, and groupwise registration of heterogeneous populations of brain MR images;Ribbens A;IEEE transactions on medical imaging,2013
3. Application of deep transfer learning for automated brain abnormality classification using MR images;Talo M;Cogn. Syst. Res,2019
4. Automatic segmentation of MR brain images with a convolutional neural network;Moeskops P;IEEE transactions on medical imaging,2016
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