Teaching Signal Processing to the Medical Profession [PDF]
, 2009 Knowledge of signal processing is very important for medical students. A medical signal may be used for monitoring, constructing an image, or for extracting the numerical quantity of a parameter. This information forms a basis for medical decisions. However, the processing of the signal may lead to distortion and an incorrect interpretation.
Meijer, J.H. +3 more
openaire +4 more sources
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods [PDF]
, 2023 Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis.
Öztürk S., Polat K.
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Ultrasound Signal Processing: From Models to Deep Learning [PDF]
, 2022 Medical ultrasound imaging relies heavily on high-quality signal processing to provide reliable and interpretable image reconstructions. Conventionally, reconstruction algorithms where derived from physical principles.
Mischi, Massimo +8 more
core +2 more sources
Signal Processing Methods for Genomic Sequence Analysis [PDF]
, 2007 Signal processing is the art of representing, transforming, analyzing, and manipulating signals. It deals with a wide range of signals, from speech and audio signals to images and video signals, and many others.
Yoon, Byung-Jun
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Interpretability, Reproducibility, and Replicability [PDF]
, 2022 Most of the work we do in signal processing these days is data driven. The shift from the more traditional and model-driven approaches to those that are data driven has also underlined the importance of explainability of our solutions.
Muller, Klaus-Robert +4 more
core +1 more source
Spline- and tensor-based signal reconstruction : from structure analysis to high-performance algorithms to multiplatform implementations and medical applications [PDF]
, 2015 The problem of signal reconstruction is of fundamental practical value for many applications associated with the field of signal and image processing.
Morozov, Oleksii
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Medical imaging analysis with artificial neural networks [PDF]
, 2010 Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
J. Ren +8 more
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Towards a full-reference, information-theoretic quality assessment method for X-ray images [PDF]
, 2008 This work aims at defining an information-theoretic quality assessment technique for cardiovascular X-ray images, using a full-reference scheme (relying on averaging a sequence to obtain a noiseless reference).
Willems, F.M.J. +13 more
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Adaptive Data Length Method for GPS Signal Acquisition in Weak to Strong Fading Conditions [PDF]
, 2021 Satellite-based navigation is an essential part of all the technology-dependent applications, such as road transport, cell phones, the medical field, aviation or the shipping industry, etc.
Hina Magsi +5 more
core +1 more source
Validation System for Digital Stethoscopes
Current Directions in Biomedical Engineering, 2019 Stethoscope auscultation is a diagnostic method widely used by medical professionals. With the introduction of digital stethoscopes, auscultation sound analysis has been objectified, which led to an increased interest in the field.
Klum Michael +4 more
doaj +1 more source