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SUMMARY:WEBINAR - BMI Progress Reports 2020 // Prof. Hess's Lab: Adélie G
 arin - Topological Data Analysis for Image processing
DTSTART:20200603T131500
DTEND:20200603T140000
DTSTAMP:20260408T072807Z
UID:05a2decfa1012d0f3796d461f23cfda3d0a808fff56db64c7c20c23f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Adélie Garin\, Laboratory for topology and neuroscience\nTopo
 logical data analysis (TDA) methods extract features representing the num
 ber of connected components\, loops and cavities of shapes at different sc
 ales through an iterative process called a filtration. In this talk\, we d
 escribe several TDA tools to improve image processing (classification\, co
 mparison and reconstruction). These methods provide a global view of image
 s\, which takes into account intrinsic geometric and topological propertie
 s of the images and complement with standard methods very well. They can b
 e used for several purposes in image analysis: classification (of neuron s
 hapes for example)\, comparison (to differentiate a healthy tissue from a 
 stroke in the brain) or to help optimisation algorithms to reconstruct det
 eriorated images (for example to reconstruct 3D neuron images from scanned
  sliced brains) by classifying and localising the most common mistakes mad
 e by those algorithms. No prerequisites are required.
LOCATION:
STATUS:CONFIRMED
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