Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image

QR Code

Boundary Segmentation and Detection of Diabetic Retinopathy (DR) in Fundus Image

Recently, the automatic detection system or Computer-Aided Detection (CAD) is widely developed in the medical field to screen or diagnose the medical image. This paper presents the boundary segmentation and detection of Diabetic Retinopathy (DR) in fundus image. The proposed method uses Fuzzy C-Mean...

Full description

Bibliographic Details
Main Authors:	Nor Rul Hasma, Abdullah, M. F. S., Nasarudin, M., Mustafa, Pebrianti, Dwi, Rosdiyana, Samad
Format:	Conference or Workshop Item
Language:	English English
Published:	2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/10646/ http://umpir.ump.edu.my/id/eprint/10646/1/Boundary%20Segmentation%20and%20Detection%20of%20Diabetic%20Retinopathy%20%28DR%29%20in%20Fundus%20Image.pdf http://umpir.ump.edu.my/id/eprint/10646/7/fkee-2015-hasma-Boundary%20Segmentation.pdf

Similar Items

Preprocessing of fundus images for detection of diabetic retinopathy
by: Abd Aziz, Nurhakimah, et al.
Published: (2021)

Determination of Foveal Avascular Zone in Diabetic Retinopathy Digital Fundus Images
by: Lila Izhar, Iznita, et al.
Published: (2010)

Detection of proliferative diabetic retinopathy in fundus images using convolution neural network
by: Hasliza, Abu Hassan, et al.
Published: (2020)

Area Analysis of Foveal Avascular Zone in Diabetic Retinopathy Color Fundus Images
by: Ahmad Fadzil, M Hani, et al.
Published: (2011)

Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach
by: Mahfuzah, Mustafa, et al.
Published: (2017)

Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
by: Ahmad Fadzil, M. Hani, et al.
Published: (2010)

Automatic diagnosis of diabetic retinopathy from fundus images using digital signal and image processing techniques
by: Aibinu, Abiodun Musa, et al.
Published: (2007)

Comparison of non-mydriatic fundus photography and optical coherence tomography with dilated fundus examination for detecting diabetic retinopathy including diabetic macular edema
by: Mae-Lynn Catherine Bastion,, et al.
Published: (2022)

Detection of hemorrhage and exudates in retinal fundus image of diabetic patients
by: Siti Sarah, Ahmad Mansor
Published: (2016)

Segmentation of Retinal Vasculature in Colour Fundus Images
by: Iznita , I.L., et al.
Published: (2009)

Retinal vessel segmentation in fundus images using deep learning / Chen Chun Hui
by: Chen , Chun Hui
Published: (2021)

Bank of Kalman filters for fault detection in quadrotor MAV
by: Pebrianti, Dwi, et al.
Published: (2016)

Detection of Neovascularization in Diabetic Retinopathy
by: Siti Syafinah, Ahmad Hassan, et al.
Published: (2012)

Multiple human body postures detection using kinect
by: Rosdiyana, Samad, et al.
Published: (2018)

Multi-objective evolutionary programming for static var compensator (SVC) in power system considering contingencies (N-m)
by: Nor Rul Hasma, Abdullah, et al.
Published: (2017)

Risk factors for diabetic retinopathy in diabetics screened using fundus photography at a primary health care setting in East Malaysia
by: Mallika, Premsenthil, et al.
Published: (2011)

Risk factors for diabetic retinopathy in diabetics screened using fundus photography at a primary health care setting in east Malaysia
by: Premsenthil, Mallika, et al.
Published: (2011)

Analysis of performance between kinetic v1 and Kinect v2 for various facial part movements
by: Heng, Sheng Guang, et al.
Published: (2019)

Automatic attendance system using face recognition with deep learning algorithm
by: Al-Amoudi, Ibrahim, et al.
Published: (2022)

Analysis of performance between kinect v1 and kinect v2 for various facial part movements
by: Heng, Sheng Guang, et al.
Published: (2019)

PSO based optimal reactive power dispatch (ORPD) considering multi-contingencies
by: Nor Rul Hasma, Abdullah, et al.
Published: (2018)

Automatic detection of diabetic retinopathy retinal images using artificial neural network
by: Syamimi Mardiah, Shaharum, et al.
Published: (2019)

Computer Vision-Based Hand Deviation Exercise for Rehabilitation
by: M. Zabri, Abu Bakar, et al.
Published: (2015)

Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises
by: M. Zabri, Abu Bakar, et al.
Published: (2017)

Finger Application Using K-Curvature Methods and Kinect Sensor in Real-time
by: MM. Zabri, Abu Bakar, et al.
Published: (2015)

Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method
by: Rosdiyana, Samad, et al.
Published: (2017)

K-NN classification of brain dominance
by: Khairul Amrizal, Abu Nawas, et al.
Published: (2017)

Contrast enhancement of retinal vasculature in digital fundus image
by: Ahmad Fadzil, Mohd Hani, et al.
Published: (2009)

Computer-aided diagnosis of diabetic patients based on color fundus images using machine learning techniques
by: Memari, Nogol
Published: (2019)

Brain Dominance Using Brainwave Signal
by: Mahfuzah, Mustafa, et al.
Published: (2015)

Fruit Fly Optimization (FFO) for Solving Economic Dispatch Problem in Power System
by: Harold, Geruna, et al.
Published: (2017)

Diabetic retinopathy
by: Salam, Adzura, et al.
Published: (2012)

Fault Detection and Isolation for Complex System
by: Chan, Shi Jing, et al.
Published: (2017)

Comparison of filtering methods for extracting transient facial wrinkle features
by: Rosdiyana, Samad, et al.
Published: (2018)

Intelligent control for visual servoing system
by: Pebrianti, Dwi, et al.
Published: (2017)

Classification of facial part movement acquired from Kinect V1 and Kinect V2
by: Sheng, Guang Heng, et al.
Published: (2021)

Classification of transient facial wrinkle
by: Rosdiyana, Samad, et al.
Published: (2019)

Real-time kinect fingers tracking and recognition for servo gripper controller
by: Rosdiyana, Samad, et al.
Published: (2018)

Classification of EEG Signal for Body Earthing Application
by: Noor Aisyah , Ab Rahman, et al.
Published: (2017)

Solving Economic Dispatch (ED) Problem Using Artificial Immune System, Evolutionary Programming and Particle Swarm Optimization
by: Nor Rul Hasma, Abdullah, et al.
Published: (2015)