Signal Processing and Machine Learning for Biomedical Data

Dear Colleagues,

This Special Issue focus 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, has revolutionized various fields of artificial vision, significantly pushing the state of the art of artificial vision systems into a wide range of high-level tasks. Such progress can help address problems in the analysis of biomedical data.

This Special Issue places particular emphasis on contributions dealing with practical, applications-led research on the use of methods and devices in clinical diagnosis and patient monitoring and management.

Prof. Dr. Giuseppe Raso
Prof. Dr. Donato Cascio
Guest Editors

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