Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

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Rodrigues, Pedro L.; Rodrigues, Nuno F.; Pinho, A. C. Marques de; Fonseca, Jaime C.; Pinto, Jorge Correia; Vilaça, João L.;
  • Publisher: Medical Engineering & Physics
  • Related identifiers: doi: 10.1016/j.medengphy.2014.06.020
  • Subject: Artificial neural networks | Science & Technology | Image segmentation | Prosthesis 45 modelling | Pectus excavatum | Prosthesis modelling

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper pr... View more
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