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Breast cancer classification using deep neural network
(Antalya Bilim Üniversitesi Lisansüstü Eğitim Enstitüsü, 2020)
Over the last few decades, cases of breast cancer have increased enormously. It is the second most popular cause of deaths in women in both developed and undeveloped countries. 8 out of 100 women face this popular and ...
Multi class breast cancer classification from multi magnification scales using histopathical images
(Antalya Bilim Üniversitesi Lisansüstü Eğitim Enstitüsü, 2021)
Over the last few decades, cases of breast cancer have increased enormously. Early detection of cancer is one of the main approaches to prevent death. The only way to cure
this disease is to detect breast cancer at early ...
A hybrid recommender system
(Antalya Bilim Üniversitesi Lisansüstü Eğitim Enstitüsü, 2020)
In the current era, the rapid pace of data volume is producing redundant information on the internet. Predicting the appropriate item for users has been a great challenge in information systems. As a result, recommender ...
Deep learning approaches for MRI image classifications
(Antalya Bilim Üniversitesi Lisansüstü Eğitim Enstitüsü, 2020)
Although there is no treatment for Alzheimer’s disease (AD), but an accurate early diagnosis is very important for both the patient and public care. Our proposed model consists of two main experiments traditional machine ...
Ecg arrythmia classification using deep neural network
(Antalya Bilim Üniversitesi Lisansüstü Eğitim Enstitüsü, 2022)
For assessing heart electrical signals, the ECG is the most cost-effective diagnostic technique used worldwide. Arrhythmia is hazardous and, in most cases, fatal. Arrhythmias are of different forms, and an ECG test detect ...