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Deep Learning-based Mammogram Classification for Breast Cancer
(International Journal of Intelligent Systems and Applications in Engineering, 2020)
Deep Learning (DL) is a rising field of researches in last decade by exposing a hybrid analysis procedure including advanced level image processing and many efficient supervised classifiers. Robustness of the DL algorithms ...
Forecasting Models For Covid-19 Cases of Turkey Using Artificial Neural Networks and Deep Learning
(TMMOB Makina Mühendisleri Odası, 2020)
Governments face a dilemma between public health and the economy while making strategic decisions
on health during a pandemic outbreak. It is of great importance to forecast the number of cases in terms
of strategic ...
Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease
(Institute of Electrical and Electronics Engineers Inc., 2020)
Goal: Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases in the world. Because COPD is an incurable disease and requires considerable time to be diagnosed even by an experienced specialist, it ...
Breast cancer diagnosis using deep belief networks on ROI images
(Pamukkale Üniversitesi, 2022)
Hand-crafted features are efficient methods for image processing, recognition, and computer vision. However, the advancements in data size and image resolution lead to inconvenience in feature extraction. Moreover, they ...
CLAHE based Enhancement to Transfer Learning in COVID-19 Detection
(Gazi Akademi Yayıncılık, 2022)
Early diagnosis of COVID-19 disease becomes possible with the enhancements on feature learning and advanced pre-processing stages for classification of chest X-ray images using deep learning. Besides, high-performance ...