Optical Technique, Volume. 47, Issue 1, 72(2021)

Feature extraction algorithm of OCT image based on wavelet decomposition pyramid

ZHANG Chenxi1、*, CHEN Minghui1, GAO Naijun1, YANG Jing2, and ZHENG Gang1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(20)

    [1] [1] Cho N H, Shaw J E, Karuranga S, et al. IDF diabetes atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045[J].Diabetes Research And Clinical Practice,2018,138:271-281.

    [2] [2] Yau J W Y, Rogers S L, Kawasaki R, et al. Global prevalence and major risk factors of diabetic retinopathy[J].Diabetes Care,2012,35(3):556-564.

    [4] [4] Wang Y T, Tadarati M. Wolfson Y, et al. Comparison of prevalence of diabetic macular edema based on monocular fundus photography vs optical coherence tomography[J].JAMA Ophthalmology,2016,134(2):222-228.

    [5] [5] Zhang Z, Srivastava1 R, Liu H Y, et al. A survey on computer aided diagnosis for ocular diseases[J]. BMC Medical Informatics and Decision Making,2014,14(80):1472-6947.

    [6] [6] Hassan B, Raja G, Hassan T. Structure tensor based automated detection of macular edema and central serous retinopathy using optical coherence tomography images[J]. Journal of the Optical Society of America,2016,33(4):455-518.

    [7] [7] Koprowski R, Teper S, Wróbel Z, et al. Automatic analysis of selected choroidal diseases in OCT images of the eye fundus[J]. Biomedical Engineering Online,2013,12(1):112-117.

    [8] [8] Liu Y Y, Ishikawa H, Chen M. Computerized macular pathology diagnosis in spectral domain optical coherence tomography scans based on multiscale texture and shape features[J]. Investigative Ophthalmology and Visual Science,2011,52(11):8316-8322.

    [9] [9] Srinivasan P P, Kim L A, Mettu P S, et al. Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images[J]. Biomedical Optics Express,2014,5(10):3568-3577 .

    [10] [10] Albarrak A, Coenen F, Zheng Y. Age-related macular degeneration identifcation in volumetric optical coherence tomography using decomposition and local feature extraction[C]∥Proceedings of 2013 International Conference On Medical Image, Understanding and Analysis. Liverpool,UK:ACM,2013:59-64.

    [11] [11] Karri S P K, Chakraborty D , Chatterjee J. Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration[J]. Biomedical Optics Express,2017,8(2):579-592.

    [12] [12] Adeeb R. DME detection using LBP features[J]. International Journal of Computer Applications,2016,148(8):44-48.

    [13] [13] Liu Y Y, Chen M, Ishikawa H, et al. Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding[J]. Medical Image Analysis,2011,15(5):748-759.

    [14] [14] Kuo A N, McNabb R P, Chiu S J, et al. Correction of ocular shape in retinal Optical Coherence Tomography and effect on current clinical eeasures[J]. American Journal of Ophthalmology,2013,156(2):304-311.

    [16] [16] Chiu S J, Li X T, Nicholas P, et al. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation[J]. Optics Express,2010,18(18):19413-19428.

    [17] [17] Ojala T, Pietikainen M, Hwewood D, A comparative study of texture measures with classification based on featured distributions[J]. Pattern Recognition,1996,29(1):51-59.

    [18] [18] Ojala, Pietikainen M, Maenppa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987.

    [19] [19] Liu D, Pu H B, Sun D W, et al. Combination of spectra and texture data of hyperspectral imaging for prediction of pH in salted meat[J].Food Chemistry, 2014,160(1):330-337.

    [22] [22] Yi S Y, Lai Z H, He Z Y, et al. Joint sparse principal component analysis[J]. Pattern Recognition,2017,61:524-536.

    [23] [23] Smith T C, Frank E. Introducing machine learning concepts with WEKA[J]. Statistical Genomics,2016,1418:353-378.

    [24] [24] Keerthi S S, Shevade S K, Bhattacharyya C, et al. Improvements to Platt’s SMO algorithm for SVM classifier design[J]. Neural Comput,2001,13(3):637-649.

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    ZHANG Chenxi, CHEN Minghui, GAO Naijun, YANG Jing, ZHENG Gang. Feature extraction algorithm of OCT image based on wavelet decomposition pyramid[J]. Optical Technique, 2021, 47(1): 72

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    Paper Information

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    Received: Oct. 27, 2019

    Accepted: --

    Published Online: Apr. 12, 2021

    The Author Email: Chenxi ZHANG (1065530751@qq.com)

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