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UNet and MobileNet CNN-based model observers for CT protocol optimization: comparative performance evaluation by means of phantom CT images.

Federico ValeriMaurizio BartolucciElena CantoniRoberto CarpiEvaristo CisbaniIlaria CupparoSandra DoriaCesare GoriMauro GrigioniLorenzo LasagniAlessandro MarconiLorenzo Nicola MazzoniVittorio MieleSilvia PradellaGuido RisalitiValentina SanguinetiDiego SonaLetizia VannucchiAdriana Taddeucci
Published in: Journal of medical imaging (Bellingham, Wash.) (2023)
Very good agreement was measured between the human observer and MO, as well as between the performance of the two algorithms. Therefore, this work is highly supportive of the feasibility of employing CNN-MO combined with a specifically designed phantom for CT protocol optimization programs.
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