?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Development+and+evaluation+of+intraoperative+ultrasound+segmentation+with+negative+image+frames+and+multiple+observer+labels&rft.creator=Chalcroft%2C+LF&rft.creator=Qu%2C+J&rft.creator=Martin%2C+SA&rft.creator=Gayo%2C+IJMB&rft.creator=Minore%2C+GV&rft.creator=Singh%2C+IRD&rft.creator=Saeed%2C+SU&rft.creator=Yang%2C+Q&rft.creator=Baum%2C+ZMC&rft.creator=Altmann%2C+A&rft.creator=Hu%2C+Y&rft.description=When+developing+deep+neural+networks+for+segmenting+intraoperative+ultrasound+images%2C+several+practical+issues+are+encountered+frequently%2C+such+as+the+presence+of+ultrasound+frames+that+do+not+contain+regions+of+interest+and+the+high+variance+in+ground-truth+labels.+In+this+study%2C+we+evaluate+the+utility+of+a+pre-screening+classification+network+prior+to+the+segmentation+network.+Experimental+results+demonstrate+that+such+a+classifier%2C+minimising+frame+classification+errors%2C+was+able+to+directly+impact+the+number+of+false+positive+and+false+negative+frames.+Importantly%2C+the+segmentation+accuracy+on+the+classifier-selected+frames%2C+that+would+be+segmented%2C+remains+comparable+to+or+better+than+those+from+standalone+segmentation+networks.+Interestingly%2C+the+efficacy+of+the+pre-screening+classifier+was+affected+by+the+sampling+methods+for+training+labels+from+multiple+observers%2C+a+seemingly+independent+problem.+We+show+experimentally+that+a+previously+proposed+approach%2C+combining+random+sampling+and+consensus+labels%2C+may+need+to+be+adapted+to+perform+well+in+our+application.+Furthermore%2C+this+work+aims+to+share+practical+experience+in+developing+a+machine+learning+application+that+assists+highly+variable+interventional+imaging+for+prostate+cancer+patients%2C+to+present+robust+and+reproducible+open-source+implementations%2C+and+to+report+a+set+of+comprehensive+results+and+analysis+comparing+these+practical%2C+yet+important%2C+options+in+a+real-world+clinical+application.&rft.publisher=Springer%2C+Cham&rft.date=2021-09-21&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A++International+Workshop+on+Advances+in+Simplifying+Medical+Ultrasound+ASMUS+2021%3A+Simplifying+Medical+Ultrasound.++(pp.+pp.+25-34).++Springer%2C+Cham+(2021)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10134515%2F1%2F2108.04114v1.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10134515%2F&rft.rights=open