Hybridization Of Optimized Support Vector Machine And Artificial Neural Network For The Diabetic Retinopathy Classification Problem
Diabetic Retinopathy (DR) is one of the most threatening disease which caused blindness for diabetic patient. With the increasing number of DR cases nowadays, diabetic eye screening has become a challenging task for ophthalmologist as they need to deal with a large number of retinal image to be d...
Saved in:
Main Author: | Kader, Nur Izzati Ab |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://eprints.usm.my/48838/1/Nur%20Izzati%20Binti%20Ab%20Kader_PCOM000516%28R%29%20cut.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic And Person-Independent
Detection Of 3d Facial Expressions
Using Enhanced Support Vector
Machine With Probability Estimation
by: Abdullah, Amal Abdulaziz
Published: (2014) -
Automatic And Person-Independent
Detection Of 3d Facial Expressions
Using Enhanced Support Vector
Machine With Probability Estimation
by: Abdullah, Amal Abdulaziz
Published: (2014) -
Breast Cancer Classification And Visualisation Using Transposed Deep Neural Network
by: Ting, Fung Fung
Published: (2019) -
Covid-19 Misinformation Classification On Twitter In Malaysia Using A Hybrid Adaptive Neuro-Fuzzy Inferences System (Anfis) And Deep Neural Network (Dnn)
by: Ravichandran, Bhavani Devi
Published: (2023) -
Classification Of P300 Signals In Brain-Computer Interface Using Neural Networks With Adjustable Activation Functions
by: Aslarzanagh, Seyed Aliakbar Mousavi
Published: (2013)