e-journal

Novel Fractal Feature-Based Multiclass Glaucoma Detection and Progression Prediction

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Abstract—We investigate the use of fractal analysis (FA) as the basis of a system for multiclass prediction of the progression of glaucoma. FA is applied to pseudo 2-D images converted from 1-D retinal nerve fiber layer data obtained from the eyes of normal subjects, and from subjects with progressive and nonprogressive glaucoma. FA features are obtained using a box-counting method and a multifractional Brownian motion method that incorporates texture and multiresolution analyses. Both features are used for Gaussian kernel-based multiclass classification. Sensitivity, specificity, and area under receiver operating characteristic curve (AUROC) are computed for the FA features and for metrics obtainedusingwavelet-Fourieranalysis(WFA)andfast-Fourieranalysis (FFA). The AUROCs that predict progressors from nonprogressors based on classifiers trained using a dataset comprised of nonprogressors and ocular normal subjects are 0.70, 0.71, and 0.82 for WFA, FFA, and FA, respectively. The correct multiclass classification rates among progressors, nonprogressors, and ocular normal subjects are 0.82, 0.86, and 0.88 for WFA, FFA, and FA,respectively.Simultaneousmulticlassclassificationamongprogressors,nonprogressors,andocularnormalsubjectshasnotbeen previously described. The novel FA-based features achieve better performance with fewer features and less computational complexity than WFA and FFA.

Index Terms—Area under receiver operating characteristic curve (AUROC), feature-based technique, fractal analysis (FA), glaucoma detection and progression, multiclass classification.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS., 2013

Deskripsi Fisik

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 2, MARCH 2013 p. 269-276

Bahasa

English

ISBN/ISSN

2168-2194

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

GLAUKOMA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Paul Y. Kim ... [et al.]

Versi lain/terkait

Lampiran Berkas

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