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Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled “Deep Learning for Computer-aided Medical Diagnosis” (SI 1119).
Of 68 papers submitted to this issue, 33 were eventually accepted after a stringent peer review process.
Corresponding Guest Editor
Yu-Dong Zhang
University of Leicester, UK
Email: yudongzhang@ieee.org; yz461@le.ac.uk
Guest Editors
Zhengchao Dong
Columbia University, USA
Email: zd2109@columbia.edu
Carlo Cattani
University of Tuscia, Italy
Email: cattani@unitus.it
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Deep learning for computer-aided medical diagnosis. Multimed Tools Appl 79, 15073 (2020). https://doi.org/10.1007/s11042-020-08940-4
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DOI: https://doi.org/10.1007/s11042-020-08940-4