M. Baldazzi

Radiation Oncology Unit, University of Florence, Florence, 50100, Italy

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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Awards Nomination

Editors List

  • Ahmed Hussien Alshewered

    University of Basrah College of Medicine, Iraq

  • Sudhakar Tummala

    Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh

     

     

     

  • Alphonse Laya

    Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis

     

  • Fava Maria Giovanna

     

  • Manuprasad Avaronnan

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