[HTML][HTML] The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review

E Keles, U Bagci - NPJ Digital Medicine, 2023 - nature.com
Abstract Machine learning and deep learning are two subsets of artificial intelligence that
involve teaching computers to learn and make decisions from any sort of data. Most recent …

Medical infrared thermal image based fatty liver classification using machine and deep learning

A Özdil, B Yilmaz - Quantitative InfraRed Thermography Journal, 2024 - Taylor & Francis
Non-alcoholic fatty liver disease (NAFLD) causes accumulation of excess fat in the liver
affecting people who drink little to no alcohol. Non-alcoholic steatohepatitis (NASH) is an …

[HTML][HTML] Best Practices for Body Temperature Measurement with Infrared Thermography: External Factors Affecting Accuracy

S Mazdeyasna, P Ghassemi, Q Wang - Sensors, 2023 - mdpi.com
Infrared thermographs (IRTs) are commonly used during disease pandemics to screen
individuals with elevated body temperature (EBT). To address the limited research on …

CodCAM: A new ensemble visual explanation for classification of medical thermal images

AH Ornek, M Ceylan - Quantitative InfraRed Thermography Journal, 2024 - Taylor & Francis
Early diagnosis systems have vital importance to monitor and follow-up the conditions of
neonates. Thermal imaging as a non-invasive and non-contact method has been used to …

A new approach for super-resolution and classification applications on neonatal thermal images

FM Senalp, M Ceylan - Quantitative InfraRed Thermography …, 2024 - Taylor & Francis
Thermal imaging systems are harmless to human health and enable contactless heat
measurements. The thermal cameras are used in many public sectors where it is necessary …

The past, current, and future of neonatal intensive care units with artificial intelligence

E Keles, U Bagci - arXiv preprint arXiv:2302.00225, 2023 - arxiv.org
Machine learning and deep learning are two subsets of artificial intelligence that involve
teaching computers to learn and make decisions from any sort of data. Most recent …

[PDF][PDF] Hybrid Statistical and Texture Features with DenseNet 121 for Breast Cancer Classification.

G Hiremath, JA Mathew, NK Boraiah - International Journal of Intelligent …, 2023 - inass.org
Cancers are aggressive which is coupled with higher mortality rates and remain a major life-
threatening factor in humans. Thus, early detection of cancer among patients is important as …

[HTML][HTML] Optimization Control of Adaptive Traffic Signal with Deep Reinforcement Learning

K Cao, L Wang, S Zhang, L Duan, G Jiang, S Sfarra… - Electronics, 2024 - mdpi.com
The optimization and control of traffic signals is very important for logistics transportation. It
not only improves the operational efficiency and safety of road traffic, but also conforms to …

Application of a deep-learning neural network for image reconstruction from a single-pixel infrared camera

S Urbaś, B Więcek - Opto-Electronics Review, 2024 - yadda.icm.edu.pl
The article presents the simulation results of a single-pixel infrared camera image
reconstruction obtained by using a convolutional neural network (CNN). Simulations were …