[en] We present a novel methodology combining web-based software
development practices, machine learning, and spatial databases for
computer-aided quantification of regions of interest (ROIs) in
large-scale imaging data. We describe our main methodological
choices, and then illustrate the benefits of the approach (workload
reduction, improved precision, scalability, and traceability) on
hundreds of whole-slide images of biological tissue slices in cancer
Research center :
Giga-Systems Biology and Chemical Biology - ULiège Institut Montefiore
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