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pro vyhledávání: '"Maged Nasan"'
Autor:
Mateo Villa, Maged Nasan, Eric Stindel, Guillaume Dardenne, Chafiaa Hamitouche, Hoel Letissier
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 13:1707-1716
A new algorithm, based on fully convolutional networks (FCN), is proposed for the automatic localization of the bone interface in ultrasound (US) images. The aim of this paper is to compare and validate this method with (1) a manual segmentation and
Publikováno v:
EPiC Series in Health Sciences.
Patient Specific Instruments (PSIs) have been introduced into the surgical workflow as a modern way to assist the surgeon in performing femur and tibia resection in Total Knee Arthroplasty (TKA). These PSIs are based on an accurate reconstruction of