BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:CET BEGIN:DAYLIGHT DTSTART:20180325T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20181028T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20190207T204707Z UID:62A04313-FDD4-456A-9241-78FEE56491DA DTSTART;TZID=CET:20180919T091500 DTEND;TZID=CET:20180919T100000 DESCRIPTION:Automated\, fast and large-scale computer-aided diagnosis of me dical images has become reality. The greatest breakthrough is Deep Learnin g. We apply these techniques in the RetinaCheck project\, a large screenin g / early warning project for eye damage due to diabetes. In China now an alarming 11.6% of the population has developed diabetes\, due to genetic f actors and fast lifestyle changes. In this project large amounts of retina l fundus images are acquired\, and the e-cloud deep learning system succes sfully learns to identify early biomarkers of retinal disease. The circle is round: we can prevent blindness by learning from the visual system: vis ion for vision.\n\nSpeaker(s): Bart M. ter Haar Romeny\, \n\nRoom: 201\, P OZNAN UNIVERSITY OF TECHNOLOGY\, UL. JANA PAWŁA II 24\, Poznan\, Wielkopo lskie\, Poland\, 60-965 LOCATION:Room: 201\, POZNAN UNIVERSITY OF TECHNOLOGY\, UL. JANA PAWŁA II 2 4\, Poznan\, Wielkopolskie\, Poland\, 60-965 ORGANIZER:tomasz.marciniak@put.poznan.pl SEQUENCE:0 SUMMARY:Vision for Vision – Deep Learning in Retinal Image Analysis URL;VALUE=URI:https://events.vtools.ieee.org/m/191257 X-ALT-DESC:Description: <br /><p>Automated\, fast and large-scale computer- aided diagnosis of medical images has become reality. The greatest breakth rough is Deep Learning. We apply these techniques in the RetinaCheck proje ct\, a large screening / early warning project for eye damage due to diabe tes. In China now an alarming 11.6% of the population has developed diabet es\, due to genetic factors and fast lifestyle changes. In this project la rge amounts of retinal fundus images are acquired\, and the e-cloud deep l earning system successfully learns to identify early biomarkers of retinal disease. The circle is round: we can prevent blindness by learning from t he visual system: vision for vision.</p> END:VEVENT END:VCALENDAR