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TZID:Europe/Paris
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BEGIN:VEVENT
UID:2908@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20190503T140000
DTEND;TZID=Europe/Paris:20190503T150000
DTSTAMP:20190418T120000Z
URL:https://www.i2m.univ-amu.fr/evenements/characterizing-shapes-and-motio
 ns-how-can-computer-vision-and-deep-learning-assist-with-scientific-image-
 analysis/
SUMMARY: (...): Characterizing shapes and motions - How can computer vision
  and deep learning assist with scientific image analysis?
DESCRIPTION:: Scientific images\, be it astronomical or medical\, share sur
 prisingly similar properties and challenges. This talk will present our re
 cent and ongoing work on scientific image analysis\, and we will examine t
 he requirements they impose on the design of new computer vision-based ana
 lysis methods. We will particularly consider deep learning methods\, which
  have been so far predominantly developed for natural images\, and we will
  discuss the potential for this paradigm in enhancing the interpretation a
 nd exploitation of scientific images.http://scholar.google.fr/citations?us
 er=LvwLwnQAAAAJ&hl=fr
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20190331T030000
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