Clinically Robust Deep Learning for Contrast-Enhanced Mammography: Multicenter Evaluation Across Convolutional Neural Network Architectures

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We uploaded the optimized ResNet50 model weights (best_ResNet50_binary_Deep_Decide.pth) and the pre-processing reference CDF map (global_cdf_map.npy) required for inference used in the article: Manuscript ID: bioengineering-4248200 Type of manuscript: Article Title: Clinically Robust Deep Learning for Contrast-Enhanced Mammography: Multicenter Evaluation Across Convolutional Neural Network Architectures Authors: Roberta Fusco, Vincenza Granata *, Paolo Vallone, Teresa Petrosino, Maria Daniela Iasevoli, Roberta Galdiero, Mauro Mattace Raso, Davide Pupo, Filippo Tovecci, Annamaria Porto, Gerardo Ferrara, Modesta Longobucco, Giulia Capuano, Roberto Morcavallo, Caterina Todisco, Fabiana Antenucci, Mario Sansone, Mimma Castaldo, Daniele La Forgia, Antonella Petrillo

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