Integration of Probabilistic Atlas and Graph Cuts for Automated Segmentation of Multiple Sclerosis lesions - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

Integration of Probabilistic Atlas and Graph Cuts for Automated Segmentation of Multiple Sclerosis lesions

Abstract

We propose a framework for automated segmentation of Multiple Sclerosis (MS) lesions from MR brain images. It integrates a priori tissues and MS lesions information into a GraphCuts algorithm for improved segmentation results.
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Origin : Files produced by the author(s)
Format : Poster
Comment : Poster session on MS, ISMRM PARIS 2018
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Dates and versions

hal-01823801 , version 1 (27-06-2018)

Identifiers

  • HAL Id : hal-01823801 , version 1

Cite

Francesca Galassi, Olivier Commowick, Christian Barillot. Integration of Probabilistic Atlas and Graph Cuts for Automated Segmentation of Multiple Sclerosis lesions. International Society for Magnetic Resonance in Medicine (ISMRM 2018), Jun 2018, Paris, France. pp.1-6. ⟨hal-01823801⟩
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