Macular Edema disease Detection and Classification
| dc.contributor.author | Djamel Aziz, Tayeb | |
| dc.contributor.author | Obeyda, Toumi | |
| dc.contributor.author | Lamri, Sayad: supervisor | |
| dc.contributor.author | Abdessattar, Ghemougi: supervisor | |
| dc.date.accessioned | 2024-07-10T09:06:24Z | |
| dc.date.available | 2024-07-10T09:06:24Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | A retinal disease associated with the presence of exudates near the macula is diabetic maculopathy. Fluid deposits or accumulation within the macula can cause macular edema (ME), which can lead to blurred or distorted vision and discoloration. Additionally, damage to the cone cells in areas of the retina impairs a person’s ability to see minute details and prevents them from performing many vision-based activities. The purpose of this work is to implement a deep learning (DL) classifier,convolutional neural network (CNN), to solve the problem of macular edema detection and classification. | |
| dc.identifier.uri | https://dspace.univ-msila.dz/handle/123456789/43509 | |
| dc.language.iso | en | |
| dc.publisher | Mohamed Boudiaf University of M'sila | |
| dc.subject | lar edema detection | |
| dc.subject | nd classificatio | |
| dc.subject | Keywords: Diabetec re | |
| dc.subject | nopathy | |
| dc.subject | Machine lea | |
| dc.title | Macular Edema disease Detection and Classification | |
| dc.type | Thesis |