?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F292%2F&rft.title=Detection+of+Metastases+in+Human+Lungs+from+CT-Scans&rft.creator=Schreuder%2C+Jan&rft.creator=van+de+Fliert%2C+Barbera&rft.creator=Molenaar%2C+Jaap&rft.subject=Medical+and+pharmaceutical&rft.description=One+of+the+possibilities+to+assist+physicians+with+their+diagnostic+work+based+on+CT-scans+would+be+a+tool+for+automatic+detection+of+metastases+in+human+lungs.+The+present+project+stems+from+the+%E2%80%98Dr.+Daniel+den+Hoedkliniek%E2%80%99+in+Rotterdam.+The+problem+was+successfully+tackled+during+the+week+and+resulted+in+a+highly+efficient+algorithm+to+detect+metastases+from+CT-data.+The+algorithm+is+restricted+to+metastases+that+are+not+attached+to+each+other+or+to+the+lung+edges.+A+first+attempt+to+implement+it+into+a+Fortran+program+yielded+successful+results+on+artificial+data+sets.+For+fine-tuning+of+parameters+the+algorithm+should+be+applied+to+real+data+from+the+clinic.&rft.date=1998&rft.type=Study+Group+Report&rft.type=NonPeerReviewed&rft.format=application%2Fmsword&rft.language=en&rft.identifier=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F292%2F1%2Fbolswi-cwisyl.doc&rft.identifier=++Schreuder%2C+Jan+and+van+de+Fliert%2C+Barbera+and+Molenaar%2C+Jaap++(1998)+Detection+of+Metastases+in+Human+Lungs+from+CT-Scans.++%5BStudy+Group+Report%5D+++++