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Séminaire de Francois Malgouyres Convertir en PDF Version imprimable Suggérer par mail

Jeudi 31 mars à 14h00 (salle C21)

Francois Malgouyres, Université Paris 13  

«Réduction de graphe et application à la segmentation de tumeur pulmonaire dans une image CT»

 

Résumé: In medical imaging, segmenting accurately lung tumors remains a quite challenging task when they are directly in contact with healthy tissues. In this paper, we address the problem of extracting interactively these tumors with graph cuts. The originality of this work consists in (1) reducing input graphs to decrease drastically memory consumption when segmenting a large volume of data and (2) introducing a novel energy formulation to inhibit the propagation of the object seeds. We detail our strategy to achieve relevant segmentations of lung tumors and compare our results to hand made segmentations provided by an expert. Comprehensive experiments show how our method can give solutions near from ground truth in a fast and memory efficient way.

 

Evènements au MIA

Du 16 au 18 Avril 2019

Conférence Internationale Maths Appli. et Evolution 

  IMAME 2019

 

Numéro spécial Sensors in Target Detection (Guest Editor T. Bouwmans)

Call for Papers

 
Numéro spécial Tensor Decomposition for Machine Learning and Signal Processing (Guest Editor T. Bouwmans)

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Numéro spécial Multimodal machine learning for human behavior analysis (Guest Editor T. Bouwmans)

Call for Papers

 

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