Statistical tools for evaluating classification efficacy of feature extraction techniques

Sheet, Debdoot; Venkatraghavan, Vikram; Suveer, Amit; Garud, Hrushikesh; Chatterjee, Jyotirmoy; Mahadevappa, Manjunatha; Ray, Ajoy Kumar

doi:10.1117/12.853168

Cited by 3 publications

(4 citation statements)

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“…The periodicity of an image texture can be inferred directly from its Fourier power spectrum. 18 This feature analyses the textured images by decomposing the image into its frequency and orientation components. 19 In this work, the AC power of the image is used as a texture descriptor.…”

Section: Featuresmentioning

confidence: 99%

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Longitudinal Changes in Tear Evaporation Rates After Eyelid Warming Therapies in Meibomian Gland Dysfunction

Yeo

Tan

Acharya

et al. 2016

Invest. Ophthalmol. Vis. Sci.

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Citation: Yeo S, Tan JH, Acharya UR, Sudarshan VK, Tong L. Longitudinal changes in tear evaporation rates after eyelid warming therapies in meibomian gland dysfunction. Invest Ophthalmol Vis Sci. 2016;57:197457: -198157: . DOI:10.1167 PURPOSE. Lid warming is the major treatment for meibomian gland dysfunction (MGD). The purpose of the study was to determine the longitudinal changes of tear evaporation after lid warming in patients with MGD.METHODS. Ninety patients with MGD were enrolled from a dry eye clinic at Singapore National Eye Center in an interventional trial. Participants were treated with hot towel (n ¼ 22), EyeGiene (n ¼ 22), or Blephasteam (n ¼ 22) twice daily or a single 12-minute session of Lipiflow (n ¼ 24). Ocular surface infrared thermography was performed at baseline and 4 and 12 weeks after the treatment, and image features were extracted from the captured images.RESULTS. The baseline of conjunctival tear evaporation (TE) rate (n ¼ 90) was 66.1 6 21.1 W/ min. The rates were not significantly different between sexes, ages, symptom severities, tear breakup times, Schirmer test, corneal fluorescein staining, or treatment groups. Using a general linear model (repeat measures), the conjunctival TE rate was reduced with time after treatment. A higher baseline evaporation rate ( ‡66 W/min) was associated with greater reduction of evaporation rate after treatment. Seven of 10 thermography features at baseline were predictive of reduction in irritative symptoms after treatment.CONCLUSIONS. Conjunctival TE rates can be effectively reduced by lid warming treatment in some MGD patients. Individual baseline thermography image features can be predictive of the response to lid warming therapy. For patients that do not have excessive TE, additional therapy, for example, anti-inflammatory therapy, may be required. (ClinicalTrials.gov number, NCT01683318 and NCT01448369.)

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Section: Featuresmentioning

confidence: 99%

“…It is useful in modeling an object having a statistical quality of roughness and self-similarity at different scales. 18 In this work, the sequential box counting algorithm was used for FD estimation for a given image. 20 An estimate of FD obtained was used as a texture descriptor.…”

Section: Featuresmentioning

confidence: 99%

Longitudinal Changes in Tear Evaporation Rates After Eyelid Warming Therapies in Meibomian Gland Dysfunction

Yeo

Tan

Acharya

et al. 2016

Invest. Ophthalmol. Vis. Sci.

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“…52 The Fourier power spectrum captures the periodicity of the texture in an image and can be used for visual texture analysis. 68 In this work AC power of the image is used as a texture descriptor and it can be computed as follows:…”

Section: Fourier Spectrummentioning

confidence: 99%

Automated Characterization and Detection of Diabetic Retinopathy Using Texture Measures

Mookiah

Tan

Chua

et al. 2015

J. Mech. Med. Biol.

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The chronic and uncontrolled diabetes mellitus (DM) damages the retinal blood vessels leading to diabetic retinopathy (DR). The advanced stage of DR leads to loss of vision and subsequently blindness. The morphological changes during the progression of DR can be diagnosed using digital fundus images. The pathological changes in the retina influence the variations in pixel patterns which can be quantified using texture measures. In this paper, we have explored different texture measures namely statistical moments, gray level co-occurrence matrix 15. Downloaded from www.worldscientific.com by NATIONAL UNIVERSITY OF SINGAPORE on 09/29/15. For personal use only.(GLCM), gray level run length matrix (GLRLM), local binary pattern (LBP), laws mask energy (LME), fractal dimension (FD), fourier spectrum (FS) and Gabor wavelet to characterize and classify the normal and DR classes. We have tabulated 109 texture parameters for the normal and DR classes. Further, these features were subjected to empirical receiver operating characteristic (ROC) based ranking to select optimal feature set. The ranked nested features were fed to the support vector machine (SVM) classifier with different kernel functions to evaluate the highest performance measure using the least number of features to discriminate normal and DR classes. Our proposed system was evaluated using two different databases Kasturba Medical College Hospital (KMCH) and Tan Tock Seng Hospital (TTSH), each with 340 images (170 normal and 170 DR). We have also formulated an integrated index called as diabetic retinopathy risk index (DRRI) using selected texture features to discriminate normal and DR classes using single number. The proposed frame work can be used to help the clinicians and also for mass DR screening programs.

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“…Linguistic features visually identified by a domain expert can each be quantified using multiple techniques. Every method of quantification has a different aptitude to represent underlying physical evidence 11 and thus has different discriminatory power. 12 To identify the commonly perceived diagnostic significance of cytological features for diagnosis of benign or malignant condition of breast lesions, an India-wide questionnaire-based survey of cytopathologists' opinions was conducted.…”

Section: Commonly Perceived Significance Of Cytological Features In Bmentioning

confidence: 99%

Computer Vision Theoretic Approach for Breast Cancer Diagnosis: Commonly Perceived Diagnostic Significance of Cytological Features and Feature Usability Analysis of an Existing Breast Cancer Database

Ng¹,

Acharya²,

Rangayyan³

et al.

Multimodality Breast Imaging: Diagnosis and Treatment

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Statistical tools for evaluating classification efficacy of feature extraction techniques

Cited by 3 publications

References 0 publications

Longitudinal Changes in Tear Evaporation Rates After Eyelid Warming Therapies in Meibomian Gland Dysfunction

Longitudinal Changes in Tear Evaporation Rates After Eyelid Warming Therapies in Meibomian Gland Dysfunction

Automated Characterization and Detection of Diabetic Retinopathy Using Texture Measures

Computer Vision Theoretic Approach for Breast Cancer Diagnosis: Commonly Perceived Diagnostic Significance of Cytological Features and Feature Usability Analysis of an Existing Breast Cancer Database

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