Health status detection of neonates using infrared thermography and deep convolutional neural networks

ÖRNEK, Ahmet Haydar | CEYLAN, Murat | ERVURAL, Saim

Protection of body temperature is critically important for health. Diseases and infections cause local temperature imbalances in the body. Infrared Thermography (IRT), which is a non-invasive and non-contact method, has been used in medical applications for decades. Pre-diagnosis and follow-up treatment systems can be realized by monitoring the temperature distribution in the body. In this study, IRT and deep Convolutional Neural Networks (CNNs) models were used together for the first time to detect the health status of neonates. Neonatal thermal images have been taken in the Neonatal Intensiv ...Daha fazlası

Makale 2019 Elsevier B.V. 1 Görüntülenme

Multiplicity dependence of (anti-)deuteron production in pp collisions at s=7TeV

KARASU UYSAL, Ayben | ALICE Collaboration

In this letter, the production of deuterons and anti-deuterons in pp collisions at s=7 TeV is studied as a function of the charged-particle multiplicity density at mid-rapidity with the ALICE detector at the LHC. Production yields are measured at mid-rapidity in five multiplicity classes and as a function of the deuteron transverse momentum (pT). The measurements are discussed in the context of hadron � coalescence models. The coalescence parameter B2, extracted from the measured spectra of (anti-)deuterons and primary (anti-)protons, exhibits no significant pT-dependence for pT

Makale 2019 Elsevier B.V. 2 Görüntülenme

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Health status detection of neonates using infrared thermography and deep convolutional neural networks

ÖRNEK, Ahmet Haydar | CEYLAN, Murat | ERVURAL, Saim

Multiplicity dependence of (anti-)deuteron production in pp collisions at s=7TeV

KARASU UYSAL, Ayben | ALICE Collaboration