Relevant bibliographies by topics / Macular exudates

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Macular exudates'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Macular exudates"

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Rosataria, Defayudina Dafilianty, and Ramzi Amin. "Intravitreal Ranibizumab Injection As A Treatment For Diabetic Macular Edema." Sriwijaya Journal of Ophthalmology 3, no. 2 (2020): 51–57. http://dx.doi.org/10.37275/sjo.v3i2.44.

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ABSTRACT
 Introduction : In general, diabetic retinopathy is classified into early stage, namely non proliferative diabetic retinopathy (NPDR), and advanced stage, proliferative diabetic retinopathy (PDR). Diabetic macular edema is the most common cause of visual impairment in cases of early stage or NPDR.
 Purpose : To describe Diabetic Macular Edema (DME) with intravitreal injection of anti-VEGF as a treatment.
 Case report : 43 old female, came with chief complaint of blurred vision on her right eye since six months ago. Blurring is felt slowly. Patient has a history of uncon
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FEROUI, A., M. MESSADI, I. HADJIDJ, and A. BESSAID. "NEW SEGMENTATION METHODOLOGY FOR EXUDATE DETECTION IN COLOR FUNDUS IMAGES." Journal of Mechanics in Medicine and Biology 13, no. 01 (2013): 1350014. http://dx.doi.org/10.1142/s0219519413500140.

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In this work, we developed an approach based on mathematical morphology and the k-means clustering algorithm to detect hard exudates (HEs) in images taken by retinography from different diabetic patients. The presence of exudates within the macular region is a hallmark of diabetic macular edema and is detected by diagnostics with high sensitivity. In ophthalmologic images, the segmentation of HEs is essential to characterize the shape of the lesion for analysis. In this domain, several approaches have been employed for exudate extraction. Some authors have used only the mathematical morphology
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Rajabian, Firuzeh, Allesandro Arrigo, Allesio Grazioli, Bruno Falcomatà, Francesco Bandello, and Maurizio Battaglia Parodi. "Retinal arterial macroaneurysm associated with macular pucker." European Journal of Ophthalmology 30, no. 5 (2019): NP74—NP78. http://dx.doi.org/10.1177/1120672119891667.

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Purpose: To describe a case of retinal arterial macroaneurysm associated with macular pucker with good response to subthreshold laser treatment. Presentation: Two-year follow-up of a patient with decreased vision in one eye for the past 6 months. Baseline best-corrected visual acuity was 20/40 in the affected eye. Multiple retinal arterial macroaneurysms were diagnosed on biomicroscopy fundus examination, with the presence of subretinal fluid and hard exudates on macula. Multimodal imaging including optical coherence tomography and fluorescein angiography confirmed the diagnosis and presence o
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K Prasad, Deepthi, Vibha L, and Venugopal K R. "Severity Analysis of Macular Edema using Random Tree Classifier." International Journal Of Engineering And Computer Science 7, no. 03 (2018): 23674–79. http://dx.doi.org/10.18535/ijecs/v7i3.02.

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Macular edema ensues when there is abnormal pile-up of fluid and results in swelling of the macula part of the retina. It is commonly associated with diabetes. It can be diagnosed by identifying exudates in the retinal images. In the proposed work, macular the retinal image is pre-processed, enhanced and segmented using morphological operations. The optic disc and macula are segmented. Various statistical features are extracted. Optimal features are selected using Haar wavelets. The selected features are classified using Random tree classifier to detect the severity of the disease in to three
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Sumithra, S., K. R. Remya, and Dr M. N. Giri Prasad. "Automatic Detection and Localization of Macular Edema." Volume 5 - 2020, Issue 9 - September 5, no. 9 (2020): 552–58. http://dx.doi.org/10.38124/ijisrt20sep342.

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Diabetic retinopathy is an eye disease and causes vision loss to the people who are suffering longer from the diabetes. Exudates, bright and red lesions are identified in the diabetic retinal eye. Automatic detection and localization of macular edema is a challenging issue since exudates have non uniform illumination and are low contrasted. Proposed algorithm to detect macular edema encompasses Simple Linear Iterative Clustering, Fisher linear discriminant and Support vector machine classifer. Optic Disc extraction prior to exudates extraction is also introduced. Performance of the proposed de
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Chakraborti, Chandana, Swapan Kumar Samanta, Khandakar Faiduddin, Krittika Pal Choudhury, Sheuli Kumar, and Ramkrishna Mondal. "Bilateral central serous chorio-retinopathy in pregnancy presenting with severe visual loss." Nepalese Journal of Ophthalmology 6, no. 2 (2014): 220–23. http://dx.doi.org/10.3126/nepjoph.v6i2.11711.

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Introduction: Bilateral central serous chorio-retinopathy is an unusual presentation. Objective: To report a case of pregnancy-induced bilateral central serous chorio-retinopathy. Case: A thirty-year-old woman complaining of reduced vision in both the eyes was referred for ophthalmoscopic evaluation in her third trimester of pregnancy. The best-corrected visual acuity was 6/60 in the right eye and finger counting at four meters in the left. The funduscopic examination revealed serous macular detachment with white sub-retinal exudates in both the eyes. Optical coherence tomography sections thro
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Sekiryu, Tetsuju, Tomohiro Iida, Eiichi Sakai, Ichiro Maruko, Akira Ojima, and Yukinori Sugano. "Fundus Autofluorescence and Optical Coherence Tomography Findings in Branch Retinal Vein Occlusion." Journal of Ophthalmology 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/638064.

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Purpose. To describe the findings of fundus autofluorescence (FAF) and optical coherence tomography (OCT) in patients with branch retinal vein occlusion (BRVO).Methods. In this institutional, retrospective, observational case series, FAF was evaluated in 65 eyes with BRVO in 64 consecutive patients and compared with visual acuity, OCT findings, and other clinical observations.Results. Five types of autofluorescence appeared during the course of BRVO: (1) petaloid-shaped hyperautofluorescence in the area of macular edema and (2) hyperautofluorescence coincident with yellow subretinal deposits.
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Akram, M. Usman, Anam Tariq, Shoab A. Khan, and M. Younus Javed. "Automated detection of exudates and macula for grading of diabetic macular edema." Computer Methods and Programs in Biomedicine 114, no. 2 (2014): 141–52. http://dx.doi.org/10.1016/j.cmpb.2014.01.010.

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Punniyamoorthy, Uma, and Indumathi Pushpam. "Remote examination of exudates‐impact of macular oedema." Healthcare Technology Letters 5, no. 4 (2018): 118–23. http://dx.doi.org/10.1049/htl.2017.0026.

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Gawęcki, Maciej. "Idiopathic Peripheral Retinal Telangiectasia in Adults: A Case Series and Literature Review." Journal of Clinical Medicine 10, no. 8 (2021): 1767. http://dx.doi.org/10.3390/jcm10081767.

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Idiopathic peripheral retinal telangiectasia (IPT), often termed as Coats disease, can present in a milder form with the onset in adulthood. The goal of this case series study and literature review was to describe and classify different presenting forms and treatment of this entity and to review contemporary methods of its management. Six cases of adult onset IPT were described with the following phenotypes based on fundus ophthalmoscopy, fluorescein angiography, and optical coherence tomography findings: IPT without exudates or foveal involvement, IPT with peripheral exudates without foveal i
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Dissertations / Theses on the topic "Macular exudates"

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Kirkpatrick, James Nigel Pollock. "Spectral reflectance imaging of the ocular fundus using a scanning laser ophthalmoscope." Thesis, University of Aberdeen, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362247.

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An investigation of the spectral reflectance of the fundus in normals and patients with common eye diseases was carried out using a multi wavelength scanning laser ophthalmoscope (SLO). With a knowledge of the spectral properties of the principal ocular pigments in the fundus, the appearance of the retina and choroid is predictable in normal subjects. The optic disc has a characteristic dark appearance when viewed with the SLO, and reasons for this may include a filtering effect of the confocal aperture to reduce the return of scattered light to the detector. In patients with macular exudates
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Book chapters on the topic "Macular exudates"

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Prabhu, Nandana, Deepak Bhoir, Nita Shanbhag, and Uma Rao. "Exudate-Based Classification for Detection of Severity of Diabetic Macula Edema." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52243-8_12.

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Wharton, Helen. "Maculopathy." In Diabetic Retinopathy: Screening to Treatment (Oxford Diabetes Library). Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198834458.003.0006.

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This chapter examines the physiological changes within the macula that can lead to diabetic macular oedema (DMO), how these are detected at diabetic eye screening (DES), and the consequences this has on patient management. It looks at how the area of the macula is defined on the fundus image and the different surrogate markers used during screening to predict the presence of DMO. The grading criteria for maculopathy (M1) as defined by the NHS Diabetic Eye screening Programme (NHSDESP) are described, which includes single exudates, groups of exudates, and haemorrhages and microaneurysms with reduced visual acuity (VA). It examines the classification of different maculopathies, such as exudative (focal and diffuse), cystoid, and ischaemic, and includes images of their appearance on retinal images. Management of patients with maculopathy, such as referral to the hospital eye service (HES) or digital surveillance (DS) clinics, and treatment of DMO, including laser and intravitreal injections are also briefly mentioned.
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Thurtell, Matthew J., and Robert L. Tomsak. "Neuroretinitis." In Neuro-Ophthalmology, edited by Matthew J. Thurtell and Robert L. Tomsak. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190603953.003.0007.

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Neuroretinitis is an inflammatory condition that results in acute painless monocular vision loss. It is characterized by unilateral optic disc edema with fluid extending from the peripapillary region into the macula. As the fluid resorbs, retinal exudates develop in a stellate configuration to produce a characteristic macular star. In this chapter, we begin by reviewing the clinical features of neuroretinitis. We next discuss potential causes of neuroretinitis, which includes infections (e.g., cat-scratch disease) and inflammatory disorders (e.g., sarcoidosis). We then discuss the laboratory workup of neuroretinitis. Lastly, we review the management options for neuroretinitis and factors influencing the prognosis for visual recovery.
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Dash, Amiya Kumar, and Puspanjali Mohapatra. "A Survey on Prematurity Detection of Diabetic Retinopathy Based on Fundus Images Using Deep Learning Techniques." In Deep Learning Applications in Medical Imaging. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5071-7.ch006.

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Diabetic retinopathy (DR) is a disease related to eye correlated with long-standing diabetes. It is a leading cause of blindness among working adults. Detection of this condition in the early stage is critical for good prognosis. Present day detection of DR normally requires digital fundus image or images generated using optical coherence tomography (OCT). As OCT are high-priced, diagnosis of DR using fundus image will benefit for the patient and the ophthalmologists. Manual inspection of morphological changes in blood vessels, microaneurysms, exudates, hemorrhages, and macula are time consuming and tedious tasks. So, designing a computer-aided system helps in analyzing the morphological changes and identifying the DR. This chapter reviews the applications of machine learning and deep learning algorithms for detection of nonproliferative diabetic retinopathy by analyzing fundus images.
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Conference papers on the topic "Macular exudates"

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Aftab, Umer, and M. Usman Akram. "Automated identification of exudates for detection of macular edema." In 2012 Cairo International Biomedical Engineering Conference (CIBEC). IEEE, 2012. http://dx.doi.org/10.1109/cibec.2012.6473307.

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Sri, R. Manjula, J. Jyothirmai, and H. Renuka. "Exudates and Colour Analysis for the Detection of Diabetic Macular Edema." In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033744.

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Thulkar, Dhanshree, and Rohin Daruwala. "Detection of Exudate for Diabetic Macular Edema Classification." In 2019 5th International Conference on Science and Technology (ICST). IEEE, 2019. http://dx.doi.org/10.1109/icst47872.2019.9166446.

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Gandhi, Mahendran, and R. Dhanasekaran. "Investigation of severity of diabetic retinopathy by detecting exudates with respect to macula." In 2015 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2015. http://dx.doi.org/10.1109/iccsp.2015.7322585.

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Perdomo, Oscar, Sebastian Otalora, Francisco Rodríguez, John Arevalo, and Fabio A. González. "A Novel Machine Learning Model Based on Exudate Localization to Detect Diabetic Macular Edema." In Ophthalmic Medical Image Analysis Third International Workshop. University of Iowa, 2016. http://dx.doi.org/10.17077/omia.1057.

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Agurto, Carla, Honggang Yu, Victor Murray, Marios S. Pattichis, Simon Barriga, and Peter Soliz. "Detection of hard exudates and red lesions in the macula using a multiscale approach." In 2012 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI). IEEE, 2012. http://dx.doi.org/10.1109/ssiai.2012.6202441.

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