scholarly journals Removal of False Blood Vessels Using Shape Based Features and Image Inpainting

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Amna Waheed ◽  
Zahra Waheed ◽  
M. Usman Akram ◽  
Arslan Shaukat
Keyword(s):  
Diabetic Retinopathy ◽  
Blood Vessels ◽  
Image Inpainting ◽  
Human Retina ◽  
Ocular Diseases ◽  
Vascular Disorder ◽  
Automated Quantification ◽  
Vessel Detection ◽  
Computer Aided ◽  
Aided Diagnosis

Automated quantification of blood vessels in human retina is the fundamental step in designing any computer-aided diagnosis system for ophthalmic disorders. Detection and analysis of variations in blood vessels can be used to diagnose several ocular diseases like diabetic retinopathy. Diabetic Retinopathy is a progressive vascular disorder caused due to variations in blood vessels of retina. These variations bring different abnormalities like lesions, exudates, and hemorrhages in human retina which make the vessel detection problematic. Therefore, automated retinal analysis is required to cater the effect of lesions while segmenting blood vessels. The proposed framework presents two improved approaches to carry out vessel segmentation in the presence of lesions. The paper mainly aims to extract true vessels by reducing the effect of abnormal structures significantly. First method is a supervised approach which extracts true vessels by performing region based analysis of retinal image, while second method intends to remove lesions before extracting blood vessels by using an inpainting technique. Both methods are evaluated on STARE and DRIVE and on our own database AFIO. Experimental results demonstrate the excellence of the proposed system.

scholarly journals A survey on computer aided diagnosis for ocular diseases

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Zhuo Zhang ◽  
Ruchir Srivastava ◽  
Huiying Liu ◽  
Xiangyu Chen ◽  
Lixin Duan ◽  
...  
Keyword(s):  
Computer Aided Diagnosis ◽  
Ocular Diseases ◽  
Computer Aided ◽  
Aided Diagnosis

scholarly journals Retinal vessel feature extraction from fundus image using image processing techniques

2018 ◽  
Vol 7 (2) ◽  
pp. 687
Author(s):  
R. Lavanya ◽  
G. K. Rajini ◽  
G. Vidhya Sagar
Keyword(s):  
Image Processing ◽  
Diabetic Retinopathy ◽  
Early Detection ◽  
Blood Vessels ◽  
Retinal Vessel ◽  
Retinal Images ◽  
Image Processing Techniques ◽  
Vessel Detection ◽  
Proper Diagnosis ◽  
Processing Techniques

Retinal Vessel detection for retinal images play crucial role in medical field for proper diagnosis and treatment of various diseases like diabetic retinopathy, hypertensive retinopathy etc. This paper deals with image processing techniques for automatic analysis of blood vessel detection of fundus retinal image using MATLAB tool. This approach uses intensity information and local phase based enhancement filter techniques and morphological operators to provide better accuracy.Objective: The effect of diabetes on the eye is called Diabetic Retinopathy. At the early stages of the disease, blood vessels in the retina become weakened and leak, forming small hemorrhages. As the disease progress, blood vessels may block, and sometimes leads to permanent vision loss. To help Clinicians in diagnosis of diabetic retinopathy in retinal images with an early detection of abnormalities with automated tools.Methods: Fundus photography is an imaging technology used to capture retinal images in diabetic patient through fundus camera. Adaptive Thresholding is used as pre-processing techniques to increase the contrast, and filters are applied to enhance the image quality. Morphological processing is used to detect the shape of blood vessels as they are nonlinear in nature.Results: Image features like, Mean and Standard deviation and entropy, for textural analysis of image with Gray Level Co-occurrence Matrix features like contrast and Energy are calculated for detected vessels.Conclusion: In diabetic patients eyes are affected severely compared to other organs. Early detection of vessel structure in retinal images with computer assisted tools may assist Clinicians for proper diagnosis and pathology. 

scholarly journals Computer Aided Diagnosis of Eye Disease for Diabetic Retinopathy

2019 ◽  
Vol 1372 ◽  
pp. 012030
Author(s):  
Wei Sheng Ng ◽  
Wan Mahani Hafizah Wan Mahmud ◽  
Audrey Kah Ching Huong ◽  
Wan Nur Hafsha Wan Kairuddin ◽  
Hong Seng Gan ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Computer Aided Diagnosis ◽  
Eye Disease ◽  
Computer Aided ◽  
Aided Diagnosis

Computer Aided Diagnosis System for Early Detection of Diabetic Retinopathy Using OCT Images

2019 ◽  
pp. 281-299
Author(s):  
Ahmed ElTanboly ◽  
Ahmed Shalaby ◽  
Ali Mahmoud ◽  
Mohammed Ghazal ◽  
Andrew Switala ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Early Detection ◽  
Computer Aided Diagnosis ◽  
Diagnosis System ◽  
Computer Aided ◽  
Aided Diagnosis

scholarly journals Algorithm-based method for detection of blood vessels in breast MRI for development of computer-aided diagnosis

2009 ◽  
Vol 30 (4) ◽  
pp. 817-824 ◽  
Author(s):  
Muqing Lin ◽  
Jeon-Hor Chen ◽  
Ke Nie ◽  
Daniel Chang ◽  
Orhan Nalcioglu ◽  
...  
Keyword(s):  
Blood Vessels ◽  
Breast Mri ◽  
Computer Aided Diagnosis ◽  
Computer Aided ◽  
Aided Diagnosis
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