RETINAL BLOOD VESSEL SEGMENTATION FOR HEALTH RISK ASSESSMENT
Language: English Online resources: Click here to access online Summary: Retinal blood vessel segmentation plays an important role in retinal image analysis. Any abnormal changes in the retinal vascular structure reveal the intensity of diseases like hypertension, cardiovascular disease, stroke, diabetes mellitus, etc. The principal objective of this work is to propose effective supervised learning for retinal vessel extraction utilizing a neural organization classifier.![](/opac-tmpl/bootstrap/itemtypeimg/carredart/dossier_de_presse.png)
Item type | Current library | Call number | Materials specified | Status | Notes | Date due | Barcode |
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Central Library, PSG Institute of Technology and Applied Research | Not for loan | ECE | P8 |
Retinal blood vessel segmentation plays an important role in retinal image analysis. Any abnormal changes in the retinal vascular structure reveal the intensity of diseases like hypertension, cardiovascular disease, stroke, diabetes mellitus, etc. The principal objective of this work is to propose effective supervised learning for retinal vessel extraction utilizing a neural organization classifier.
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