1 citations · 1 across the 5 of their papers we have counts for
5 papers
The Efficacy of Microaneurysms Detection With and Without Vessel Segmentation in Color Retinal Images
Meysam Tavakoli, Mahdieh Nazar, Alireza Mehdizadeh
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 anato…
Comparison Different Vessel Segmentation Methods in Automated Microaneurysms Detection in Retinal Images using Convolutional Neural Networks
Meysam Tavakoli, Mahdieh Nazar
Image processing techniques provide important assistance to physicians and relieve their workload in different tasks. In particular, identifying objects of interest such as lesions…
Automated Optic Nerve Head Detection Based on Different Retinal Vasculature Segmentation Methods and Mathematical Morphology
Meysam Tavakoli, Mahdieh Nazar, Alireza Golestaneh +1
Computer vision and image processing techniques provide important assistance to physicians and relieve their workload in different tasks. In particular, identifying objects of inte…
Automated Detection of Microaneurysms in Color Fundus Images using Deep Learning with Different Preprocessing Approaches
Meysam Tavakoli, Sina Jazani, Mahdieh Nazar
Imaging methods by using computer techniques provide doctors assistance at any time and relieve their workload, especially for iterative processes like identifying objects of inter…
Automated Fovea Detection Based on Unsupervised Retinal Vessel Segmentation Method
Meysam Tavakoli, Patrick Kelley, Mahdieh Nazar +1
The Computer-Assisted Diagnosis systems could save workloads and give objective diagnostic to ophthalmologists. At first, feature extraction is a fundamental step. One of these ret…