Comparison and supervised learning of segmentation methods dedicated to specular microscope images of corneal endothelium

HIGHLIGHTS

• who: Yann, Gavet and Jean-Charles, Pinoli from the LGF UMR CNRS, École Nationale Supérieure des Mines de Saint-Etienne, Cours Fauriel, Saint-Etienne , France have published the research work: Comparison and Supervised Learning of Segmentation Methods Dedicated to Specular Microscope Images of Corneal Endothelium, in the Journal: (JOURNAL) of 22/09/2014
• what: In the same spirit, the authors propose a dissimilarity criterion that is tolerant towards small spatial variations.
• how: This paper presents a methodology to compare these algorithms together. As a result this paper proposes the optimal control . . .
  

   

  

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