Automated Detection of Central Retinal Vein Occlusion Using Convolutional Neural Network

Choudhury, Bismita; Then, Patrick; Raman, Valliappan

doi:10.1007/978-3-319-63917-8_1

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…They used a classical CNN model to classify the normal and BRVO colour fundus images via image-based and patch-based approaches. Another CNN model is proposed by [70] to detect CRVO using colour fundus image using image-based method. Table-3 summarizes the state-of-the-art method for RVO detection…”

Section: Methods For Dme Detectionmentioning

confidence: 99%

“…A good pre-processing method enhances the performance of the subsequent steps in a classification problem. In the proposed method, we followed the preprocessing steps used in [75]. After extracting the green channel from the colour fundus image, using Contrastlimited Adaptive Histogram Equalization (CLAHE), the quality of the images is enhanced.…”

Section: Image Pre-processing and Segmentationmentioning

confidence: 99%

See 1 more Smart Citation

Review on the Role of Macular Edema in Retinopathy, Blindness and Automated Diagnosis Methods

Barman¹,

Deb²,

Hassan³

et al. 2018

EAI Endorsed Transactions on Pervasive Health and Technology

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INTRODUCTION: Macular edema is not a disease itself, but, a very common condition in most of the retinal diseases, such as diabetic retinopathy, retinal vein occlusion, hypertensive retinopathy, age-related macular edema, etc. and postocular surgery. OBJECTIVES: We have discussed how macular edema plays an important role in blindness in case of various retinal blood vascular diseases and post-ophthalmic surgery. We have analyzed vast state-of-the-art methods for retinal abnormality detection. METHODS: The proposed method uses a semi-automated macula segmentation approach and Local Binary Pattern features to train k-Nearest Neighbor classifier and performs binary classification. RESULTS: We have achieved 80% accuracy and 90% sensitivity in classifying normal and abnormal retina CONCLUSION: We justified the notion that it will be beneficial to have a method that can analyse the macula region and alert if there is any abnormality near that region to prevent vision loss.

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Section: Methods For Dme Detectionmentioning

confidence: 99%

Section: Image Pre-processing and Segmentationmentioning

confidence: 99%

Review on the Role of Macular Edema in Retinopathy, Blindness and Automated Diagnosis Methods

Barman¹,

Deb²,

Hassan³

et al. 2018

EAI Endorsed Transactions on Pervasive Health and Technology

View full text Add to dashboard Cite

show abstract

“…The visual cortex has small regions of cells that are sensitive to specific regions of the visual field. In detail, some individual neuronal cells in the brain responded (or fired) only in the presence of edges of a certain orientation [31,32]. For example, some neurons fired when exposed to horizontal edges and other when vertical or diagonal edges are shown.…”

Section: Introductionmentioning

confidence: 99%