OPTIMIZING HARD EXUDATE SEGMENTATION IN RETINAL IMAGES USING GRADIENT BOOSTING CLASSIFIER AND ACTIVE CONTOUR MODEL
Diabetic retinopathy, one of microvascular complications caused by diabetes mellitus, ranks among the leading causes of blindness among the working-age population. Timely detection of diabetic retinopathy holds pivotal importance in mitigating the risk of blindness stemming from diabetic retinopa...
Saved in:
Main Author: | Nihayatal Izza Sarinop, Ufi |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/78143 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Three-stages hard exudates segmentation in retinal images
by: Worapan Kusakunniran, et al.
Published: (2019) -
HARD EXUDATE SEGMENTATION IN VARIOUS RESOLUTION OF RETINAL FUNDUS IMAGES TO SUPPORT THE DIAGNOSIS OF DIABETIC RETINOPATHY
by: Afirrah Vasmaulidzra, San -
Hard exudate detection in retinal fundus images using supervised learning
by: Nipon Theera-Umpon, et al.
Published: (2019) -
The role of domain knowledge in the detection of retinal hard exudates
by: Hsu, W., et al.
Published: (2013) -
Effective detection of retinal exudates in fundus images
by: Wang, H., et al.
Published: (2013)