Journal Article10.1016/J.COMPBIOMED.2013.10.003
Ensemble selection for feature-based classification of diabetic maculopathy images
Pradeep Chowriappa,Sumeet Dua,U. Rajendra Acharya,U. Rajendra Acharya,M. Muthu Rama Krishnan +4 more
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TL;DR: The objective of the proposed decision system is three fold namely, to automatically extract textural features, to effectively choose subset of discriminatory features, and to classify DM fundus images to their corresponding class of disease severity.
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About: This article is published in Computers in Biology and Medicine. The article was published on 01 Dec 2013. The article focuses on the topics: Naive Bayes classifier.
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Citations
Ensembles for feature selection: A review and future trends
TL;DR: This work provides the reader with the basic concepts necessary to build an ensemble for feature selection, as well as reviewing the up-to-date advances and commenting on the future trends that are still to be faced.
483
Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring
Paweł Pławiak,Moloud Abdar,U. Rajendra Acharya +2 more
- 01 Nov 2019
TL;DR: The proposed approach is a hybrid model which merges the benefits of evolutionary computation, ensemble learning, and deep learning and can be employed in the banking system to evaluate the bank credits of the applicants and aid the bank managers in making correct decisions.
161
Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing
TL;DR: The paper highlights a novel online dataset and it presents the dataset collection, the expert diagnosis process and the advantages of the online database compared to other public eye fundus image databases for diabetic retinopathy purposes.
Automated diabetic macular edema (DME) grading system using DWT, DCT Features and maculopathy index
U. Rajendra Acharya,Muthu Rama Krishnan Mookiah,Joel En Wei Koh,Jen Hong Tan,Sulatha V. Bhandary,A. Krishna Rao,Yuki Hagiwara,Chua Kuang Chua,Augustinus Laude +8 more
TL;DR: A hybrid system based on Radon transform (RT), discrete wavelet transform (DWT) and discrete cosinetransform (DCT) are proposed for an automated detection of diabetic macular edema and the obtained results suggest that this system can be used as an eye screening tool for diabetic subjects for DME.
77
Automated diagnosis of Age-related Macular Degeneration using greyscale features from digital fundus images
Muthu Rama Krishnan Mookiah,U. Rajendra Acharya,Joel En Wei Koh,Vinod Chandran,Chua Kuang Chua,Jen Hong Tan,Choo Min Lim,E. Y. K. Ng,Kevin Noronha,Louis Tong,Augustinus Laude +10 more
TL;DR: An automated dry AMD detection system using various entropies, Higher Order Spectra bispectra features, Fractional Dimension features, and Gabor wavelet features extracted from greyscale fundus images can be used for mass fundus image screening and aid clinicians by making better use of their expertise on selected images that require further examination.
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