Abstract
pCLE (Cellvizio, Mauna Kea Technologies) enables in vivo microscopic imaging of the epithelium in real-time during ongoing endoscopy. As pCLE is a recent technology, the in vivo interpretation of pCLE images of colorectal polyps is still challenging for many endoscopists. This study aims at supporting pCLE diagnosis of colorectal polyps, by developing a software based on image retrieval for the automatic extraction of semantic concepts in pCLE sequences.
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