MACHINE LEARNING METHODS UTILIZING MAMMOGRAM IMAGE ENHANCEMENT OF BREAST CANCER IDENTIFICATION [PDF]
ICTACT Journal on Soft ComputingMedical image analysis is very essential for health care sectors with early identification of illness, advanced features as very effective diagnostics system.
V. Jeevitha, I. Laurence Aroquiaraj
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Partition optimization for a random process realization to estimate its expected value [PDF]
Serbian Journal of Electrical Engineering, 2017 The paper provides an analytical proof the optimal number of partitions of a non-stationary random process realization, which is necessary for estimating its expected value when using “the estimation reproduction” method for signal processing ...
Marchuk Vladimir +4 more
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A study on correlation between thyroid CT radiation dose, image quality and female body composition [PDF]
Zhongguo aizheng zazhiBackground and purpose: With the increasing use of medical imaging examinations, Computed tomography (CT) scans have become one of the primary sources of effective dose.
Xigang SHEN +3 more
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Phrases in noise test (PINT) Brazil: effectiveness of the test in children with hearing loss
Brazilian Journal of Otorhinolaryngology, 2021 Introduction: One of the main implications of hearing impairment is the difficulty in perceiving speech sounds, especially in noisy environments. Thus, the frequency-modulated system is considered an important educational tool for children with hearing ...
Regina Tangerino de Souza Jacob +6 more
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Noise and Health, 2016 Introduction: Noise is considered as the most common cause of harmful physical effects in the workplace. A sound that is generated from within the inner ear is known as an otoacoustic emission (OAE).
Parvin Nassiri +5 more
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Graphene Nanogrids FET Immunosensor: Signal to Noise Ratio Enhancement
Sensors, 2016 Recently, a reproducible and scalable chemical method for fabrication of smooth graphene nanogrids has been reported which addresses the challenges of graphene nanoribbons (GNR).
Jayeeta Basu, Chirasree RoyChaudhuri
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iCap: New method for noise reduction in electroencephalography (EEG) signals
مجلة جامعة دمشق للعلوم الهندسية, 2022 Electroencephalographic (EEG) signal’s importance increases as the neurotechnology research and industry accelerate. Therefore, it is crucial to acquire noise-free signals by maximising the signal-to-noise ratio (SNR). Many methods are followed to clean
Nibras ABO ALZAHAB Riham DAIEA Mhd Shafik ALNAHHAS
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Robust Automatic Modulation Classification in Low Signal to Noise Ratio
IEEE Access, 2023 In a non-cooperative communication environment, automatic modulation classification (AMC) is an essential technology for analyzing signals and classifying different kinds of signal modulation before they are demodulated.
To Truong An, Byung Moo Lee
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The Application of Contrast-Enhanced 3D-STIR-VISTA MR Imaging of the Brachial Plexus
Journal of the Belgian Society of Radiology, 2022 Objective: To introduce contrast-enhanced 3D-STIR-VISTA sequence that would improve the image quality for the brachial plexus imaging and enhance the contrast between the brachial plexus and surrounding tissues.
Dingsheng Han +3 more
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Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor
Signals, 2022 In recent years, a wide range of hyperspectral imaging systems using coded apertures have been proposed. Many implement compressive sensing to achieve faster acquisition of a hyperspectral data cube, but it is also potentially beneficial to use coded ...
Jonathan Piper +2 more
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