Optimized Imaging Techniques to Detect and Screen the Stages of Retinopathy of Prematurity

Prabakar, S.; Porkumaran, K.; Shah, Parag K; Narendran, Venkatapathy

doi:10.5772/26609

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…The detection of the first three stages and plus disease is done with the help of back propagation network (BPN) and a combined model of BPN and radial basis function (RBF) network [35]. Moreover, in the diagnosis of diseases, computerized image processing technologies not only help to save time and reproducibility but also often more accurate than human experts [36].…”

Section: Related Workmentioning

confidence: 99%

Automated Staging and Grading for Retinopathy of Prematurity on Indian Database

KADGE,

Nalbalwar,

Nandgaokar

et al. 2023

JAIT

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Retinopathy of prematurity (ROP) is a disorder of the retina in neonates. If ROP is not treated at early stage, neonates’ vision is affected, leading to blindness. It is necessary to diagnose and treat ROP at earliest. Several ROP assessment techniques based on Image analysis have been introduced in recent years. These studies identify only normal, abnormal and plus disease. This research article explores the identification of distinct ROP stages along with normal and abnormal detection. Detecting the stages will help to expedite the treatment and prevent vision loss. The proposed framework consists of feature extraction using Scale Invariant Feature Transform (SIFT) and Pyramid Histogram of Words (PHOW) techniques. Three efficient supervised machine learning algorithms, namely random forest (RF), support vector machine (SVM) and extreme boosting gradient (XGBoost), are used to classify different stages of ROP. A data set captured by RetCam 3 is used to evaluate the model. Based on rigorous evaluation, the accuracy of different ROP stages is 93.68%, 83.33%, 85.71%, 55.55% and 100% for normal, stage 1, 2, 3 and 4, respectively.

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Section: Related Workmentioning

confidence: 99%

Automated Staging and Grading for Retinopathy of Prematurity on Indian Database

KADGE,

Nalbalwar,

Nandgaokar

et al. 2023

JAIT

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show abstract

“…It possesses unique optical, acoustical and electronic properties which initiates wide interest in the scientific arena [1][2][3][4]. Recently optical wave confining and lagging action has been demonstrated in ZnS and ZnO nanorods [5][6][7][8][9][10][11]. A theoretical predication of the possibility of room temperature ferromagnetism has also stimulated research interest in the field of diluted magnetic semiconductors (DMSc).…”

Section: Introductionmentioning

confidence: 99%

A Convenient Route To Synthesize Hexagonal Pillar Shaped ZnO nanoneedles Via CTAB Surfactant

Kaviyarasu¹,

Devarajan²

2013

Adv. Mater. Lett.

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In this work we report the successful formation of hexagonal pillar shaped ZnO nanoneedles with high yield and by using simple cheap method with CTAB as the surfactant. SEM and TEM microscopic observation revealed that the ZnO nanorods were smooth and uniform throughout their length and the functional groups in the molecule were identified by FTIR analysis. PL properties of ZnO nannorods were found to be dependent on the growth condition and the resultant morphology revealed that ZnO nanorods were highly transparent in the visible region. .

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Retinopathy of Prematurity Vessel and Ridge Parameters Measurement by Unsupervised Algorithm

Prabakar¹,

Porkumaran²,

Shah³

et al. 2014

RJASET

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The Retinopathy of Prematurity (ROP) is an ocular pathological disorder of the retinal blood vessels in premature infants and low birth weight infants. It is essential that those caring for premature infants should know who is at risk of ROP and their severity stage. It is also important that when screening must begin and how often these infants need to be examined otherwise the progression lead most severe stage and can cause blindness. The contrast stretching method has been utilized to enhance the ROP color image. Then an automatic method Isotropic Un-decimated Wavelet Transform (IUWT) has been proposed to extract the abnormal retinal blood vessel and measure its width and tortuosity. The ridge formation of this pathological disorder has also been obtained by the IUWT. The quantitative measurements of mean diameter, standard deviation, tortuosity, length of retinal blood vessel and ridge have been considered and computed the exact severity stage of ROP. The effectiveness of the proposed method has been verified through machine vision techniques and the results obtained are encouraged by experts. Automatic ROP screening system comprises several advantages, like a substantial time reduction of ophthalmologists in diagnosis, a non ophthalmologist can provide stage of ROP, improving the sensitivity of the test and a better accuracy in diagnosis.

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Optimized Imaging Techniques to Detect and Screen the Stages of Retinopathy of Prematurity

Cited by 3 publications

References 29 publications

Automated Staging and Grading for Retinopathy of Prematurity on Indian Database

Automated Staging and Grading for Retinopathy of Prematurity on Indian Database

A Convenient Route To Synthesize Hexagonal Pillar Shaped ZnO nanoneedles Via CTAB Surfactant

Retinopathy of Prematurity Vessel and Ridge Parameters Measurement by Unsupervised Algorithm

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