Sertan Serte

Orcid: 0000-0001-7130-0172

According to our database1, Sertan Serte authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Data augmentation and denoising of computed tomography scan images in training deep learning models for rapid COVID-19 detection.
Int. J. Bus. Intell. Data Min., 2024

2022
Deep learning in medical imaging: A brief review.
Trans. Emerg. Telecommun. Technol., 2022

Local binary pattern and deep learning feature extraction fusion for COVID-19 detection on computed tomography images.
Expert Syst. J. Knowl. Eng., 2022

Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases.
Expert Syst. J. Knowl. Eng., 2022

2021
Convolutional neural networks for the classification of chest X-rays in the IoT era.
Multim. Tools Appl., 2021

Graph-based saliency and ensembles of convolutional neural networks for glaucoma detection.
IET Image Process., 2021

Deep learning for diagnosis of COVID-19 using 3D CT scans.
Comput. Biol. Medicine, 2021

Classification of COVID-19 and pleural effusion on chest radiographs using CNN fusion.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

Glaucoma classification via deep learning ensembles.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021

2020
Wavelet-based deep learning for skin lesion classification.
IET Image Process., 2020

Geographic variation and ethnicity in diabetic retinopathy detection via deeplearning.
Turkish J. Electr. Eng. Comput. Sci., 2020

Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network.
Comput. Intell. Neurosci., 2020

COVID-19 Detection on CT Scans Using Local Binary Pattern and Deep Learning.
Proceedings of the Science and Technologies for Smart Cities, 2020

2019
Gabor wavelet-based deep learning for skin lesion classification.
Comput. Biol. Medicine, 2019


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