Seda Arslan Tuncer

发表

Classification of Apricot Leaves with Extreme Learning Machines Using Deep Features

Berna Arı, Ali Arı, Abdulkadir Şengür, 2019, 2019 1st International Informatics and Software Engineering Conference (UBMYK).

Hybrid approach optic disc segmentation for retinal images

Seda Arslan Tuncer, Turab Selçuk, Merve Parlak, 2017, 2017 International Artificial Intelligence and Data Processing Symposium (IDAP).

A Hardware and Mobile-Health Based System for the Analysis of EEG Signals

Turgay Kaya, Seda Arslan Tuncer, 2019 .

Application of Tree Growing up Algorithm to Protein Secondary Structure Estimation

Seda Arslan Tuncer, Ali Karci, S. Tuncer, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

Real-Time Random Number Generation With RO-Based Double PUF

Seda Arslan Tuncer, 2018 .

Incorporating feature selection methods into a machine learning-based neonatal seizure diagnosis.

Seda Arslan Tuncer, Merve Açıkoğlu, S. Tuncer, 2019, Medical hypotheses.

Optic disc determination in retinal images with deep features

Abdulkadir Sengür, Seda Arslan Tuncer, Erkan Deniz, 2018, 2018 26th Signal Processing and Communications Applications Conference (SIU).

Spinal Cord Based Kidney Segmentation Using Connected Component Labeling and K-Means Clustering Algorithm

Seda Arslan Tuncer, Ahmet Alkan, A. Alkan, 2019, Traitement du Signal.

Abdominal image segmentation on Android based mobile devices

Seda Arslan Tuncer, Ahmet Alkan, 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

Non-local means based image enhancement on coronary angiography images

Seda Arslan Tuncer, Turab Selçuk, Ahmet Alkan, 2017, 2017 International Artificial Intelligence and Data Processing Symposium (IDAP).

True Random Number Generation from Bioelectrical and Physical Signals

Turgay Kaya, Seda Arslan Tuncer, S. Tuncer, 2018, Comput. Math. Methods Medicine.

Optic Disc Segmentation based on Template Matching and Active Contour Method

Seda Arslan Tuncer, S. Tuncer, 2019, Balkan Journal of Electrical and Computer Engineering.

Is it possible to detect cerebral dominance via EEG signals by using deep learning?

Seda Arslan Tuncer, Suat Toraman, Ferhat Balgetir, 2019, Medical hypotheses.

Segmentation of kidneys and abdominal images in mobile devices with the Android operating system by using the Connected Component Labeling method

Seda Arslan Tuncer, Ahmet Alkan, 2017, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Segmentation of thyroid nodules with K-means algorithm on mobile devices

Seda Arslan Tuncer, Ahmet Alkan, A. Alkan, 2015, 2015 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI).

Comparative MR image analysis for thyroid nodule detection and quantification

Seda Arslan Tuncer, Ahmet Alkan, Mücahid Günay, 2014 .

A decision support system for detection of the renal cell cancer in the kidney

Seda Arslan Tuncer, Ahmet Alkan, A. Alkan, 2018, Measurement.