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OBJECTIVE The paper addresses the problem of automatic detection of basal cell carcinoma (BCC) in histopathology images. In particular, it proposes a framework to both, learn the image representation in an unsupervised way and visualize discriminative features supported by the learned model. MATERIALS AND METHODS This paper presents an integrated(More)
Documentation of cultural heritage sites can provide data and records for continuing research, analysis, monitoring, and change detection. Digital documentation allows computational analysis as well as archival recording of objects and sites. It provides a non-destructive approach to artifact or site mapping and measurement. Virtual models of cultural sites(More)
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