Exudate Detection in Fundus Images: Multispace Clustering Approach
| Autor: | Sanjeev Dubey, Utkarsh Mittal |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
education.field_of_study
Retina genetic structures business.industry Computer science Population Optic disk Image processing Diabetic retinopathy Fundus (eye) medicine.disease eye diseases medicine.anatomical_structure Feature (computer vision) medicine Human eye Computer vision sense organs Artificial intelligence business education |
| Zdroj: | Communications in Computer and Information Science ISBN: 9789811359910 |
| DOI: | 10.1007/978-981-13-5992-7_9 |
| Popis: | Retina is the outer lining of human eye where the image formation takes place. Any threat to retina causes severe eye defects and may lead to complete blindness. During a defect the retina gets distorted. To measure the severity of a disease we need to determine different damage causing elements. Exudates are one such artefact that play a vital role in disease prediction. Diabetic Retinopathy is the leading cause of blindness in the working-age population of the world. Exudates act as a feature to predict this condition. This work aims to automatically segment exudates from fundus images using Image Processing and Machine Learning algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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