Results 41 to 50 of about 1,134,173 (194)

Development of a Fully Optimized Convolutional Neural Network for Astrocytoma Classification in MRI Using Explainable Artificial Intelligence

Journal of Imaging
Astrocytoma is the most common type of brain glioma and is classified by the World Health Organization into four grades, providing prognostic insights and guiding treatment decisions.
Christos Ch. Andrianos, Spiros A. Kostopoulos, Ioannis K. Kalatzis, Dimitris Th. Glotsos, Pantelis A. Asvestas, Dionisis A. Cavouras, Emmanouil I. Athanasiadis   +6 more
doaj   +1 more source

NEMA NU 2–2007 performance characteristics of GE Signa integrated PET/MR for different PET isotopes

EJNMMI Physics, 2019
Background Fully integrated PET/MR systems are being used frequently in clinical research and routine. National Electrical Manufacturers Association (NEMA) characterization of these systems is generally done with 18F which is clinically the most relevant
Paulo R. R. V. Caribé, M. Koole, Yves D’Asseler, Timothy W. Deller, K. Van Laere, S. Vandenberghe   +5 more
doaj   +1 more source

Electrocardiogram (ECG/EKG) using FPGA [PDF]

, 2012
FPGAs (Field Programmable Gate Arrays) are finding wide acceptance in medical systems for their ability for rapid prototyping of a concept that requires hardware/software co-design, for performing custom processing in parallel at high data rates and be ...
Desai, Vaibhav
core   +1 more source

K Means Segmentation of Alzheimers Disease in PET scan datasets: An implementation

, 2013
The Positron Emission Tomography (PET) scan image requires expertise in the segmentation where clustering algorithm plays an important role in the automation process. The algorithm optimization is concluded based on the performance, quality and number of
D.L. Pham, K.-P. Wong, M.C. Su, O.J. Oyelade   +3 more
core   +1 more source

Window-Dependent Bases for Efficient Representations of the Stockwell Transform [PDF]

, 2014
Since its appearing in 1996, the Stockwell transform (S-transform) has been applied to medical imaging, geophysics and signal processing in general. In this paper, we prove that the system of functions (so-called DOST basis) is indeed an orthonormal ...
Battisti, Ubertino, Riba, Luigi
core   +3 more sources

Assessing the deep learning based image quality enhancements for the BGO based GE omni legend PET/CT

EJNMMI Physics
Background This study investigates the integration of Artificial Intelligence (AI) in compensating the lack of time-of-flight (TOF) of the GE Omni Legend PET/CT, which utilizes BGO scintillation crystals.
Meysam Dadgar, Amaryllis Verstraete, Jens Maebe, Yves D’Asseler, Stefaan Vandenberghe   +4 more
doaj   +1 more source

Medical image denoising using convolutional denoising autoencoders

, 2016
Image denoising is an important pre-processing step in medical image analysis. Different algorithms have been proposed in past three decades with varying denoising performances.
Gondara, Lovedeep
core   +1 more source

Monte Carlo simulation of the system performance of a long axial field-of-view PET based on monolithic LYSO detectors

EJNMMI Physics, 2023
Background In light of the milestones achieved in PET design so far, further sensitivity improvements aim to optimise factors such as the dose, throughput, and detection of small lesions.
Maya Abi-Akl, Meysam Dadgar, Yassine Toufique, Othmane Bouhali, Stefaan Vandenberghe   +4 more
doaj   +1 more source

Alternative Techniques of Neural Signal Processing in Neuroengineering [PDF]

, 2015
Neural signal processing is a discipline within neuroengineering. This interdisciplinary approach combines principles from machine learning, signal processing theory, and computational neuroscience applied to problems in basic and clinical neuroscience ...
Dauwels, Justin, Solé-Casals, Jordi, Vialatte, François B.   +2 more
core   +2 more sources

In-ear photoplethysmography for central pulse waveform analysis in non-invasive hemodynamic monitoring

Current Directions in Biomedical Engineering, 2017
In recent years, the analysis of the photoplethys-mographic (PPG) pulse waveforms has attracted much research focus. However, the considered signals are primarily recorded at the fingertips, which suffer from reduced peripheral perfusion in situations ...
Tigges Timo, Rockstroh Jonas, Pielmuş Alexandru, Klum Michael, Feldheiser Aarne, Hunsicker Oliver, Orglmeister Reinhold   +6 more
doaj   +1 more source