Remote examination of exudates-impact of macular oedema

Healthcare Technology Letters

article

Uma Punniyamoorthy¹  Indumathi Pushpam¹ 

[1] Department of Electronics, Madras Institute of Technology, Anna University Campus

关键词: eye;    vision defects;    diseases;    feature extraction;    medical signal processing;    biomedical optical imaging;    exudates;    macular oedema;    eye blindness;    diabetic retinopathy;    long-term diabetes;    eye defects;    image processing;    optic disc detection;    sensitivity;    selectivity;    accuracy;   

DOI  :  10.1049/htl.2017.0026

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

One of the major causes of eye blindness is identified to be as diabetic retinopathy, which if not detected in earlier stage would cause a serious issue. Long-term diabetes causes diabetic retinopathy. The significant key factor leading to diabetic retinopathy is exudates which affect the retina part and causes eye defects. Thus the first and foremost task in the automated detection of macular oedema is to detect the presence of these exudates. The authors use image processing techniques to detect the optic disc, exudates and the presence of macular oedema. Their method has the sensitivity 96.07%, selectivity 97.36%, and accuracy 96.62% for the exudates detection and in the case of macular oedema detection the sensitivity 97.75%, selectivity 100%, and accuracy 98.86% is achieved. The performance comparison with other methods reveals that their method can be used as a screening process for diabetic retinopathy. In addition to that, the algorithm can help to detect macular oedema.

【 授权许可】

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