N.L.V. Cernusco

Publications

• Research   
  Comparative clinical evaluation of auto segmentation methods in contouring of prostate cancer
  Author(s): Andrea Lastrucci*, F. Meucci, M. Baldazzi, L. Marciello, N.L.V. Cernusco, E. Serventi, S. Marzano and R. Ricci
  
  Purpose: The aim of this study is to compare two different methods for autocontouring for prostate radiation therapy. On the one hand Atlas-Based segmentation, on the other a deep-learning Artificial Intelligence (AI) based method by means of the recently developed software module Contour ProtégéAI of MIM Maestro (MIM Software Inc., Cleveland, OH, USA). Methods: Ten patients with prostate cancer treated at the Radiotherapy Unit of S.Stefano Hospital of Prato (IT) were selected retrospectively by specific inclusion criteria. To make a comparison between the auto-segmentation methods in prostate radiation therapy the manual contouring was used as a reference, called Gold Standard. Similarity indices, like as Dice Similarity Coefficient (DSC) and Mean Distance to Agreement (MDA), are used to compare AI and Atlas-based contours with Gold Standard contours. .. Read More»
  

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