Muhammed Gökhan Cinsdikici

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Blood vessels in ophthalmoscope images play an important role in diagnosis of some serious pathologies on retinal images. Hence, accurate extraction of vessels is becoming a main topic of this research area. Matched filter (MF) implementation for blood vessel detection is one of the methods giving more accurate results. Using this filter alone might not(More)
  • Ankita Phogat, Varshika Dwivedi, +18 authors Guna r E. Li
  • 2012
This paper includes a flexible method for solving the travelling salesman problem using genetic algorithm. In this problem TSP is used as a domain.TSP has long been known to be NP-complete and standard example of such problems. There had been many attempts to address this problem using classical methods such as integer programming and graph theory(More)
The Traveling Salesman Problem (TSP) is one of the extensively studied combinatorial optimization problems. Various exact or approximation algorithms are devised for solving Euclidean TSP that determine the shortest route through a given set of points in 3-dimensional Euclidean space. In this paper, we proposed a genetic algorithm-based solution for TSP(More)
This paper presents a novel vehicle-classification algorithm that uses the time-variable signal generated by a single inductive loop detector. In earlier studies, the noisy raw signal was fed into the algorithm by reducing its size with rough sampling. However, this approach loses the original signal form and cannot be the best exemplar vector. The(More)
This paper suggests the use of radial based neural networks for classification of the landmark points from retina vessels in the retinal vascular images to diagnose the disease in the diabetic retinopathy patients and to track the periodic differences in retinal vessel images. In the suggested method, Gold Standard images from DRIVE database are used. The(More)
A new face region extraction method is proposed in this study. The leading property of this method is its application simplicity. Performance success of 65% is achieved with this method and in order to improve this method for images which include multi-faces, we aim to incorporate Zernike moments as a future work.
We propose two contributions with novel approaches to fMRI activation analysis. The first is to apply confidence intervals to locate activations in real-time, and second is a new metric based on robust regression of fMRI signals. These contributions are implemented in our four proposed methods; Instantaneous Activation Method (IAM), Instantaneous Activation(More)