Monday, March 17th, was the scientific animation day of the Bio-imaging axis dedicated to Image Analysis.
Prepared by the "Image Analysis" working group, the event was intended to be interactive and participatory and was structured around demonstration workshops and presentations (Program to download 👉 here)
Nearly fifty participants were able to share their experiences in image analysis, whether from light microscopy, MRI or electron microscopy.
Scientific presentations
David Rousseau,
LARIS/IRHS, Angers
“How not to be overwhelmed in an ocean of data via Smart Scanning? »
Arthur Masson,
IRISA/Sairpico, Rennes
“BioImageIT: an open-source solution for image analysis data management”
Marie-Françoise Devaux,
BIA, Nantes
“Analyze and compare multi- and hyperspectral image series”
Oscar Acosta,
LTSI, Rennes
“Radomics in oncology for the prediction of tumor relapse”
Participatory workshop – Image analysis: what next?
Participants divided into working groups were asked to reflect on different stages of the image analysis process around 3 big questions, and assess the problems and limitations they face.
Exploitation of analysis results
Image analysis is performed: what do we do with the results? Problems, limitations, and solutions.
Visualization and representation
Difficulties related to the visualization and representation of images of different nature (3D, spectral, multi-modalities, etc.) and analysis results.
Reproducibility and sharing of analyses
How to ensure that analysis results can be reproduced: over time from the same data set, with different analysis tools, reproducing a colleague's analysis, etc.
The results of the discussions from this workshop will make it possible to offer scientific activities that best meet the expectations of participants for future events.
Demonstration workshops
6 workshops in small groups allowed participants to discover the use of an image analysis method or dedicated software.
Retraining Deep Learning Models with Open-Source QuPath Software
Thierry Pécot
core facility FAIIA, Reindeer
Virtual Reality in anatomy studies – a review and demo of currently available techniques
Arnim Jenet
core facility TEFOR, Paris Saclay
