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As the number of digital medical images taken daily rapidly increases, manual annotation is impractical, time-consuming and prone to errors. Hence, there is need to create systems that automatically classify and annotate medical images. The aim of this presented work is to utilize Transfer Learning to generate image keywords, which are substituted as text representation for medical image classification and retrieval tasks. Text preprocessing methods such as detection and removal of compounddoi:10.5220/0006732301790187 dblp:conf/biostec/PelkaNF18 fatcat:aoadhd2inbc6tkx5ahua4uuuz4