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Special Issue on Signal Processing and Machine Learning for Biomedical Data

2021

This Special Issue is focused on advanced techniques in signal processing, analysis, modelling, and classification, applied to a variety of medical diagnostic problems. Biomedical data play a fundamental role in many fields of research and clinical practice. Very often the complexity of these data and their large volume makes it necessary to develop advanced analysis techniques and systems. Furthermore, the introduction of new techniques and methodologies for diagnostic purposes, especially in the field of medical imaging, requires new signal processing and machine learning methods. The recent progress in machine learning techniques, and in particular deep learning, revolutionized various f…

Signal processingMedical diagnosticComputer science02 engineering and technologyMachine learningcomputer.software_genrelcsh:Technologylcsh:ChemistryBiomedical data0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencebiomedical dataInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer ProcessesSignal processingbusiness.industrylcsh:TProcess Chemistry and TechnologyGeneral Engineering021001 nanoscience & nanotechnologylcsh:QC1-999Computer Science ApplicationsVariety (cybernetics)machine learningn/alcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingArtificial intelligence0210 nano-technologybusinesslcsh:Engineering (General). Civil engineering (General)computerlcsh:Physicsdeep learnigApplied Sciences
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