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interactive segmentation (4) 4
area granulometry (3) 3
classification (3) 3
computer science (3) 3
computer science - computer vision and pattern recognition (3) 3
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Journal Article
IEEE Transactions on Education, ISSN 0018-9359, 08/2018, Volume 61, Issue 3, pp. 218 - 225
Journal Article
Computer Vision and Image Understanding, ISSN 1077-3142, 2010, Volume 114, Issue 1, pp. 21 - 32
Journal Article
08/2018
We present a new artificial neuron model capable of learning its receptive field in the spatial domain of inputs. The name for the new model is focusing neuron... 
Journal Article
Journal of pathology informatics, ISSN 2229-5089, 2013, Volume 4, Issue 1, pp. 12 - 12
Mitosis count is one of the factors that pathologists use to assess the risk of metastasis and survival of the patients, which are affected by the breast... 
Breast cancer | Genetic aspects | Research | Metastasis | Mitosis | Risk factors | Datasets | Histograms | Automation | Histopathology | Morphology | Methods | ensemble classifier | area granulometry | cost-sensitive learning | Mitosis detection | cascade adaboost
Journal Article
02/2018
Convolutional neural networks have many hyperparameters such as the filter size, number of filters, and pooling size, which require manual tuning. Though deep... 
Computer Science - Computer Vision and Pattern Recognition
Journal Article
Ecological Informatics, ISSN 1574-9541, 09/2014, Volume 23, pp. 3 - 12
We study the automatic localization and identification of African clawed frogs ( sp.) in digital images taken in a laboratory environment. We propose a novel... 
Automated frog identification | HoG | SIFT | Area granulometry | Xenopus laevis | Skin pattern recognition | TEXTURE ANALYSIS | CLASSIFICATION | ECOLOGY | SIMILARITY | RETRIEVAL | FEATURES | Frogs | Amphibians
Journal Article
Medical image analysis, ISSN 1361-8415, 02/2015, Volume 20, Issue 1, p. 237
The proliferative activity of breast tumors, which is routinely estimated by counting of mitotic figures in hematoxylin and eosin stained histology sections,... 
Journal Article
2018 3rd International Conference on Computer Science and Engineering (UBMK), 09/2018, pp. 625 - 629
In this paper, we investigate the problem of animal sound classification using deep learning and propose a system based on convolutional neural network... 
Training | Convolution Neural Network (CNN) | Animals | Convolution | Mel Frequency Cepstral Coefficient (MFCC) | Feature extraction | Convolutional neural networks | Mel frequency cepstral coefficient | Confusion Matrix (CF) | Animal sound classification
Conference Proceeding
07/2016
This paper presents an effective color normalization method for thin blood film images of peripheral blood specimens. Thin blood film images can easily be... 
Computer Science - Computer Vision and Pattern Recognition
Journal Article
2018 3rd International Conference on Computer Science and Engineering (UBMK), 09/2018, pp. 504 - 508
Counting and organization of books in libraries is a routine and time-consuming task. The task gets more complicated by misplaced books in shelves. In order to... 
Training | Library Automation | HAAR Classifier | XML | Feature extraction | Optical imaging | Call Number Detection | Libraries | Optical character recognition software | Character recognition | OCR
Conference Proceeding
2017 25th Signal Processing and Communications Applications Conference (SIU), 05/2017, pp. 1 - 4
The traditional neural network topology is not flexible to change during the training process. Every neuron and it's independent weights in the network are... 
artificial neural network | Image coding | Network topology | Neurons | Focusing | Dogs | focusing neuron | Biological neural networks
Conference Proceeding
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), ISSN 1945-7928, 04/2014, pp. 69 - 72
Volumetric electron microscopy techniques, such as serial block-face electron microscopy (SBEM), generate massive amounts of image data that are used for... 
connectomics | soma | block-wise connected components | random forest | Electron microscopy | Image reconstruction | Training | Image segmentation | Three-dimensional displays | block-face electron microscopy | automated nucleus detection | interactive segmentation | Labeling
Conference Proceeding
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings, 06/2016, pp. 2021 - 2024
Conference Proceeding
2012, Lecture Notes in Computer Science, ISBN 9783642338670, Volume 7584, Issue 2
This paper presents a novel vision based obstacle detection algorithm that is adapted from a powerful background subtraction algorithm: ViBe (VIsual Background... 
Computer Graphics | Pattern Recognition | Computer Science | Image Processing and Computer Vision | Artificial Intelligence (incl. Robotics) | Information Systems Applications (incl. Internet) | Algorithm Analysis and Problem Complexity | Obstacle detection | mobile robot | ultrasonic sensor | ViBe
Book Chapter
2016 24th Signal Processing and Communication Application Conference (SIU), 05/2016, pp. 2021 - 2024
We present a novel method to automatically detect lung nodules in CT lung scans. Our method is generalized in the sense that it does not assume/depend a... 
lung | Histograms | Image databases | Lungs | Computed tomography | nodule detection | Solids | interactive segmentation | Biomedical imaging | Conferences | Interactive | Organs | Computer aided tomography | Electronics | Opacity | Nodules
Conference Proceeding
2nd International Conference on Computer Science and Engineering, UBMK 2017, 10/2017, pp. 745 - 750
Conference Proceeding
2017 International Conference on Computer Science and Engineering (UBMK), 10/2017, pp. 745 - 750
The purpose of this study is to examine generalized self-efficacy and attitudes of the F.M.V. Işık University Engineering Faculty students of Introduction to... 
Barium | Atmospheric measurements | academic attitude | Education | programming education | self-efficacy | motivation | Particle measurements | Microstrip | Programming profession
Conference Proceeding
2018 3rd International Conference on Computer Science and Engineering (UBMK), 09/2018, pp. 298 - 302
This study aims to aromatically detect malaria parasites (Plasmodium sp) on images taken from Giemsa stained blood smears. Deep learning methods provide... 
deep learning | Microscopy | Conferences | convolutional neural network | Dogs | Internet | malaria | computer-aided diagnosis | Blood | Diseases | Biomedical imaging | Convolutional neural network
Conference Proceeding
2007
Dissertation
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