?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Semi-automated+query+construction+for+content-based+endomicroscopy+video+retrieval&rft.creator=Tafreshi%2C+MK&rft.creator=Linard%2C+N&rft.creator=Andr%C3%A9%2C+B&rft.creator=Ayache%2C+N&rft.creator=Vercauteren%2C+T&rft.description=Content-based+video+retrieval+has+shown+promising+results+to+help+physicians+in+their+interpretation+of+medical+videos+in+general+and+endomicroscopic+ones+in+particular.+Defining+a+relevant+query+for+CBVR+can+however+be+a+complex+and+time-consuming+task+for+non-expert+and+even+expert+users.+Indeed%2C+uncut+endomicroscopy+videos+may+very+well+contain+images+corresponding+to+a+variety+of+different+tissue+types.+Using+such+uncut+videos+as+queries+may+lead+to+drastic+performance+degradations+for+the+system.+In+this+study%2C+we+propose+a+semi-automated+methodology+that+allows+the+physician+to+create+meaningful+and+relevant+queries+in+a+simple+and+efficient+manner.+We+believe+that+this+will+lead+to+more+reproducible+and+more+consistent+results.+The+validation+of+our+method+is+divided+into+two+approaches.+The+first+one+is+an+indirect+validation+based+on+per+video+classification+results+with+histopathological+ground-truth.+The+second+one+is+more+direct+and+relies+on+perceived+inter-video+visual+similarity+ground-truth.+We+demonstrate+that+our+proposed+method+significantly+outperforms+the+approach+with+uncut+videos+and+approaches+the+performance+of+a+tedious+manual+query+construction+by+an+expert.+Finally%2C+we+show+that+the+similarity+perceived+between+videos+by+experts+is+significantly+correlated+with+the+inter-video+similarity+distance+computed+by+our+retrieval+system.&rft.subject=Algorithms%2C+Colonic+Polyps%2C+Colonoscopy%2C+Humans%2C+Image+Enhancement%2C+Image+Interpretation%2C+Computer-Assisted%2C+Information+Storage+and+Retrieval%2C+Microscopy%2C+Reproducibility+of+Results%2C+Sensitivity+and+Specificity%2C+User-Computer+Interface%2C+Scale+Invariant+Feature+Transform%2C+Video+Retrieval%2C+Confocal+Laser+Endomicroscopy%2C+Temporal+Segmentation%2C+Scale+Invariant+Feature+Transform+Descriptor&rft.publisher=Springer%2C+Cham&rft.date=2014-09-14&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++Proceedings+of+the+17th+International+Conference+on+Medical+Image+Computing+and+Computer-Assisted+Intervention%3A+MICCAI+2014.++(pp.+pp.+89-96).++Springer%2C+Cham%3A+Boston%2C+MA%2C+USA.+(2014)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F1450866%2F1%2FVercauteren_paper-841.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F1450866%2F&rft.rights=open