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Recent improvements in artificial intelligence, big data and machine learning have enhanced the importance of biomedical signal and image processing research. Biomedical signal processing requires the analysis of measurements at specific periods in time and noted on a patient’s chart to provide useful information upon which clinicians can make determinations. Biomedical image processing is similar in concept to biomedical signal processing in multiple dimensions. It includes the analysis, enhancement and presentation of images captured via XRay, Ultrasound, MRI, nuclear medicine and visual imaging technologies. Deep learning is now quickly extending in all science and engineering research fields, including biomedical sciences. It is practised to build computational intelligent models directly from the biomedical signals. The aim of this special issue is to capture recent research and seek contributions of highquality papers in this field. Under the support of related worldwide researchers, 77 papers have been received. Based on the review comments from peer reviewers, 29 papers have been selected out for the special issue and authors have revised their paper according to the comments before final acceptance. This special issue has been made possible by the support of Prof. Borko Furht, the Editorin-Chief of Multimedia Tools and Applications. We would like to express our gratitude to the authors for their contributions, the referees for ensuring the quality of the accepted papers, and the staff of the Editorial Office and Production Department for their help in finalizing this special issue.

Special issue on deep learning in biomedical signal and medical image processing [1128 T]