Automated microaneurysms detection in retinal images using radon transform and supervised learning: application to mass screening of diabetic retinopathy

M Tavakoli, A Mehdizadeh, A Aghayan… - IEEE …, 2021 - ieeexplore.ieee.org
Detection of red lesions in color retinal images is a critical step to prevent the development
of vision loss and blindness associated with diabetic retinopathy (DR). Microaneurysms …

A complementary method for automated detection of microaneurysms in fluorescein angiography fundus images to assess diabetic retinopathy

M Tavakoli, RP Shahri, H Pourreza, A Mehdizadeh… - Pattern Recognition, 2013 - Elsevier
Early detection of microaneurysms (MAs), the first sign of Diabetic Retinopathy (DR), is an
essential first step in automated detection of DR to prevent vision loss and blindness. This …

Automated method for real-time AMD screening of fundus images dedicated for mobile devices

SB Sayadia, Y Elloumi, R Kachouri, M Akil… - Medical & biological …, 2022 - Springer
Aged macular degeneration (AMD) leads to a progressive decline in visual acuity until
reaching blindness. It is considered as an irreversible pathology where an early diagnosis …

Automatic analysis of microaneurysms turnover to diagnose the progression of diabetic retinopathy

J Xu, X Zhang, H Chen, J Li, J Zhang, L Shao… - IEEE …, 2018 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is one of the most common microvascular complications and its
early detection is critical for the prevention of vision loss. Recent studies have indicated that …

Automated detection of microaneurysms in color fundus images using deep learning with different preprocessing approaches

M Tavakoli, S Jazani, M Nazar - Medical imaging 2020 …, 2020 - spiedigitallibrary.org
Imaging methods by using computer techniques provide doctors assistance at any time and
relieve their workload, especially for iterative processes like identifying objects of interest …

Unsupervised automated retinal vessel segmentation based on Radon line detector and morphological reconstruction

M Tavakoli, A Mehdizadeh… - IET Image …, 2021 - Wiley Online Library
Retinal blood vessel segmentation and analysis is critical for the computer‐aided diagnosis
of different diseases such as diabetic retinopathy. This study presents an automated …

The efficacy of microaneurysms detection with and without vessel segmentation in color retinal images

M Tavakoli, M Nazar… - Medical imaging 2020 …, 2020 - spiedigitallibrary.org
Computer-Aided Diagnosis systems are required to extract suitable information about retina
and its changes. In particular, identifying objects of interest such as lesions and anatomical …

Comparing different preprocessing methods in automated segmentation of retinal vasculature

M Tavakoli, F Kalantari… - 2017 IEEE Nuclear …, 2017 - ieeexplore.ieee.org
Computer methods and image processing provide medical doctors assistance at any time
and relieve their work load, especially for iterative processes like identifying objects of …

Quantitative evaluation of the effect of attenuation correction in SPECT images with CT-derived attenuation

M Tavakoli, M Naij - Medical Imaging 2019: Physics of Medical …, 2019 - spiedigitallibrary.org
In this study, we assessed the importance of attenuation correction by quantitative
evaluation of errors associated with attenuation in myocardial SPECT in a phantom study …

Automated method for hierarchal detection and grading of diabetic retinopathy

N Sengar, MK Dutta - Computer Methods in Biomechanics and …, 2018 - Taylor & Francis
This paper proposes an automated method for comprehensive detection and grading of non-
proliferative diabetic retinopathy (NPDR) taking all DR abnormalities into consideration …