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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20181221T160727Z
LOCATION:D165
DTSTART;TZID=America/Chicago:20181111T164500
DTEND;TZID=America/Chicago:20181111T170000
UID:submissions.supercomputing.org_SC18_sess147_ws_cafcw113@linklings.com
SUMMARY:Toward a Pre-Cancer Image Atlas through Crowdsourcing and Machine 
 Learning
DESCRIPTION:Workshop\nApplications, Deep Learning, Exascale, Workshop Reg 
 Pass\n\nToward a Pre-Cancer Image Atlas through Crowdsourcing and Machine 
 Learning\n\nMahabal, Liu, Cinquini, Crichton, Kincaid...\n\nWe describe ho
 w crowdsourcing can be combined with advanced machine learning for early c
 ancer detection. We demonstrate our system for lung cancer (using data fro
 m the National Lung cancer Screen Trial), but in such a fashion that it ca
 n easily be replicated for other organs. Thus this becomes a step towards 
 the pre-cancer image atlas, a focus area of the National Cancer Institute.
  Additionally, by keeping explainability and interpretability at the core 
 of our deep learning methods, we make the endeavor reproducible.
URL:https://sc18.supercomputing.org/presentation/?id=ws_cafcw113&sess=sess
 147
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