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[IEEE 2018 International Joint Conference on Neural Networks (IJCNN) - Rio de Janeiro (2018.7.8-2018.7.13)] 2018 International Joint Conference on Neural Networks (IJCNN) - Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening
摘要： Retinopathy of Prematurity (ROP) is a disease which requires immediate precautionary measures to prevent blindness in the infants, and this condition is prevalent in premature babies in all the underdeveloped, developing, and in the developed countries as well. This paper proposes a tool by which the stage and zones of Retinopathy of Prematurity in infants can be diagnosed easily. This tool takes the input from the Retcam and detects the stage, zone, and gives a rating of 1 to 9 for classifying the severity of the disease in the infants. This is achieved by extracting the optic disc, marking the ridge, and the distance of the optic nerve. This tool can be easily used by nurses and paramedics, unlike the existing technologies which require the guidance of a specialist to come to a conclusion.
关键词： Retina,Retcam,Zones,Retinopathy,Stage,Optic disc,Optic nerve
更新于2025-09-04 15:30:14
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Optic disc topography in Malay patients with normal-tension glaucoma and primary open-angle glaucoma
摘要： Background: There are limited data concerning the optic disc topography in normal-tension glaucoma (NTG) and primary open-angle glaucoma (POAG) patients living in Southeast Asian countries. This study aims to compare optic disc parameters in patients with NTG and POAG in Malaysia and to discuss the results in comparison with studies of NTG and POAG in other Asian countries. Methods: This prospective cross-sectional study was performed in two hospitals with glaucoma service in Malaysia from 2010 to 2012. Seventy-seven patients of Malay ethnicity were enrolled in this study, including 32 NTG patients and 45 POAG patients. Using the Heidelberg Retinal Tomograph III, we measured optic disc area, cup area, rim area, cup volume, rim volume, cup-to-disc area ratio, mean cup depth, maximum cup depth, cup shape measure, height variation contour, mean retinal nerve fiber layer thickness, and retinal nerve fiber layer cross-sectional area. Results: The eyes for NTG patients had significantly larger optic disc areas (2.65 [standard deviation, 0.41] vs 2.40 [standard deviation, 0.36] mm2, respectively; P=0.006) and cup areas (1.54 [standard deviation, 0.43] vs 1.32 [standard deviation, 0.40] mm2, respectively; P=0.027) compared with the eyes of POAG patients. Comparison of the other parameters between the two groups revealed no significant difference (P0.050). The moderate and severe NTG patients showed significantly deeper cups and larger disc and cup areas when compared with the moderate and severe POAG patients (P0.050). Conclusion: The NTG patients in this study have notably larger optic disc and cup areas than the POAG patients. Our observations are consistent with those reported in studies of NTG and POAG patients in Korea. The deeper cups and larger disc and cup areas may serve as indicators of severity when comparing NTG with POAG. However, these findings require verification with IOP and visual field results.
关键词： optic disc topography,primary open-angle glaucoma,Heidelberg Retina Topography III,Malay ethnicity,normal-tension glaucoma
更新于2025-09-04 15:30:14
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An Innovative Approach for Person Identification by Detection and Extraction of Optic Disc from Retina and Concha from Ear
摘要： Person identification based on unimodal biometric system suffers from intra class similarity, non universality, distinctiveness and spoof attacks. To alleviate the problem faced in unimodal biometric system biometric traits are combined in multimodal biometric system. In this study a new approach, to improve the recognition rate, reduces computational complexity and storage space is presented. Distinct method of person identification using detection and extraction of optic disc from retina and concha from ear is carried out Region Of Interest (ROI) locator which is proposed here automatically detects the optic disc either from right or left eye and extracts it. Feature level fusion of optic disc and concha is done for recognition of a person. The method is tested with ROI locator and without ROI locator on publicly available databases and the experimental result shows that our multimodal biometric system outperforms with ROI locator than Without ROI locator. Matching Rate (MR) of 95 to 100% and Equal Error Rate (EER) of less than 10% is achieved with this system. The new approach was tested for unimodal system with ROI locator and was able to achieve 100% Matching Rate.
关键词： Optic Disc,Feature Level Fusion,Multimodal Biometric System,Unimodal Biometric System,Concha
更新于2025-09-04 15:30:14
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Retinal and Optic Disc Alterations in Alzheimer ’s Disease: the Eye as a Potential Central Nervous System Window
摘要： Pathologic changes in the retina and optic nerve are observed in patients with Alzheimer′s disease (AD), even in early stages of the dementia. In our clinical ophthalmology practice, we use optical coherence tomography (OCT), a noninvasive, rapid, objective, and reliable technology that enables for quantification of the retinal nerve fiber layer (RNFL), namely the retinal ganglion cell axons that eventually form the optic nerve. The opportunity to analyze a part of the central nervous system by such a simple exploration led to several studies demonstrating thinning of the RNFL and central retina in AD patients compared with healthy subjects. Here we present some of our investigations in AD patients using Spectral Domain-OCT. Our results suggest that axonal loss secondary to pathologic alterations in the brains of AD patients can be observed by OCT. We also analyzed the association between retinal and RNFL thicknesses and neurologic characteristics, disease duration and severity, and found that mean RNFL thickness was significantly correlated with disease duration, indicating that the progression of AD is associated with a progressive loss of ganglion cells.
关键词： Retinal nerve fiber layer,Retinal thickness,Optic disc,Optical coherence tomography,Alzheimer’s disease
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) - Guangzhou, China (2018.10.8-2018.10.12)] 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) - Automatic Detection of Optic Disc in Retina Image Using CNN and CRF
摘要： In this paper, we propose an optic disc detection method based on convolutional neural network (CNN) and conditional random field (CRF). We pre-classify the color fundus retinal images by CNN, and construct first-order potential functions of CRF. Then the linear combination of Gaussian kernel functions is used to construct the second-order potential function of CRF model. Finally, regional restricts method is applied that analyzes the consistency of the connected region labels and corrects the labels of each pixel by calculating the posterior probability mean of the super-pixel region. The combination of CNN and CRF not only uses the pixel’s intrinsic features, but also the spatial context information to make the detection more accurate. The added constraints further preserve the local information of the target and infer the entire model through a mean field approximation algorithm. This improves the accuracy of detection of optic discs in color fundus retina images. Experiments show that the CNN-CRF model performs better than the existing algorithms for the optic disc detection in pathological images. It provides an effective solution to optic disc detection problem by inhibiting its vulnerability to noise interference such as peripheral lesions and pigmentation. We compare our results to recent published results on several retina databases and show that the CNN-CRF model outperforms the current state-of-the-art methods.
关键词： CRF,Optic Disc,Automatic Recognition,CNN
更新于2025-09-04 15:30:14
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[IEEE 2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) - Chennai (2018.3.22-2018.3.24)] 2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII) - An Approach to Extract Optic-Disc from Retinal Image Using K-Means Clustering
摘要： generally, retinal picture valuation is commonly executed to appraise the diseases. In this paper, an image examination technique is implemented to extract the Retinal-Optic-Disc (ROD) to assess its condition. An approach based on the combination of Kapur’s entropy and K-means clustering is considered here to mine the optic disc region from the RGB retinal picture. During the experimental implementation, this approach is tested with the DRIVE and RIM-ONE databases. Initially, the DRIVE pictures are considered to appraise the proposed approach and is later, considered the ROD, comparative analyses with the expert’s Ground-Truths are carried out and the image similarity values are then recorded. This approach is then validated against the Otsu’s+levelset existing in the literature. All these experiments are implemented using Matlab2010. The outcome of this procedure confirms that, proposed work provides better picture similarity values compared to Otsu’s+levelset. Hence, in future, this procedure can be considered to evaluate the clinical retinal images.
关键词： Optic-disc,K-means clustering,validation.,Retinal picture,Kapur’s entropy
更新于2025-09-04 15:30:14
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Confocal Adaptive Optics Imaging of Peripapillary Nerve Fiber Bundles: Implications for Glaucomatous Damage Seen on Circumpapillary OCT Scans
摘要： To improve our understanding of glaucomatous damage as seen on circumpapillary disc scans obtained with frequency-domain optical coherence tomography (fdOCT), fdOCT scans were compared to images of the peripapillary retinal nerve fiber (RNF) bundles obtained with an adaptive optics-scanning light ophthalmoscope (AO-SLO). The AO-SLO images and fdOCT scans were obtained on 6 eyes of 6 patients with deep arcuate defects (5 points (cid:2)(cid:3)15 db) on 10-2 visual fields. The AO-SLO images were montaged and aligned with the fdOCT images to compare the RNF bundles seen with AO-SLO to the RNF layer thickness measured with fdOCT. All 6 eyes had an abnormally thin (1% confidence limit) RNF layer (RNFL) on regions of RNF bundles on AO-SLO in fdOCT and abnormal corresponding regions. However, regions of abnormal, but equal, RNFL thickness on fdOCT scans varied in appearance on AO-SLO images. These regions could be largely devoid of RNF bundles (5 eyes), have abnormal-appearing bundles of lower contrast (6 eyes), or have isolated areas with a few relatively normal-appearing bundles (2 eyes). There also were local variations in reflectivity of the fdOCT RNFL that corresponded to the variations in AO-SLO RNF bundle appearance. Relatively similar 10-2 defects with similar fdOCT RNFL thickness profiles can have very different degrees of RNF bundle damage as seen on fdOCT and AO-SLO. While the results point to limitations of fdOCT RNFL thickness as typically analyzed, they also illustrate the potential for improving fdOCT by attending to variations in local intensity.
关键词： optical coherence tomography,retinal nerve fiber layer,glaucoma,adaptive optics,optic disc
更新于2025-09-04 15:30:14
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Hard exudate based severity assessment of diabetic macular edema from retinal fundus images
摘要： Diabetic macular edema (DME) is a consequence of diabetic retinopathy characterised by the abnormal accumulation of fluid and protein deposit in the macula region of the retina. Prior disclosure of even a trivial trace of DME is essential as it could consequently lead to blurred vision. DME can be diagnosed by the presence of exudates (glossy lesions) in the retinal fundus images. In this work, OD and macula are detected using morphological operation and hard exudates are segmented. Exudates are classified using early treatment diabetic retinopathy standard as normal, moderate or severe cases. The proposed work also incorporates the extraction of various features from the retinal fundus image. Various textural and exudate features are extracted and fed to a classifier to detect DME. Experiments are performed on a publically available database. Performance is evaluated with metrics like accuracy, sensitivity, specificity and accuracy. The results obtained are promising.
关键词： DME,random forest,hard exudates,diabetic macular edema,classification,macula,feature extraction,optic disc
更新于2025-09-04 15:30:14