Original Research Article
Year: 2021 | Month: October | Volume: 8 | Issue: 10 | Pages: 257-262
DOI: https://doi.org/10.52403/ijrr.20211034
A Collection of Multimodal Melanoma Data
Aigli Korfiati1, Giorgos Livanos1, Christos Konstandinou1, Sophia Georgiou2, George Sakellaropoulos1
1Department of Medical Physics, School of Medicine, University of Patras, Greece
2Department of Dermatology, School of Medicine, University of Patras, Greece
Corresponding Author: George Sakellaropoulos
ABSTRACT
Computer-aided diagnosis, prognosis and therapy systems have been of great interest for a number of years. The availability of big volumes of data and of powerful computational resources have allowed artificial intelligence approaches to emerge in melanoma related studies. However, for such approaches to have good predictive performances data availability is of crucial importance. Melanoma related imaging, biological and clinical data can be found partially and scattered in various repositories. Thus, in this work, we assemble in a web accessible database, named ebioMelDB, the widest collection of clinical and dermoscopy images accompanied with patient clinical data and the widest collection of RNA-Seq gene expression data accompanied with patient clinical data. The database organization allows users to select the data that are appropriate for their application of interest (diagnosis, prognosis and therapy).
Keywords: melanoma database, integrated data, dermoscopy, imaging, RNA-Seq, clinical data.
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