Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; 24th International C Marleen de Bruijne,Philippe C. Cattin,Caroli

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BI-RADS Classification of Calcification on Mammogramser, we present the first deep learning-based six-class BI-RADS classification for each individual calcification in mammograms. We propose an attention ROI generation strategy to highlight calcification features. Moreover, by incorporating malignancy information, the designed new loss function effect

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Supervised Contrastive Pre-training for Mammographic Triage Screening Modelse Pre-training (SCP) followed by Supervised Fine-tuning (SF) to improve mammographic triage screening models. Our experiments on a large-scale dataset show that the SCP step can effectively learn a better embedding and subsequently improve the final model performance in comparison with the direct su

蒙太奇

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s for practical application.Consideration of simplified appr.Arequirement for the safe design of thermoplastic parts is the ability toprecisely predict mechanical behaviour by finite element simulations. Typicalexamples include the engineering of relevant components in automotiveapplications. For thi

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Anuja Vats,Marius Pedersen,Ahmed Mohammed,Øistein Hovdements. These depend strongly non-linearly on the strain energy density present in the glass at the time of fracture, which can be converted into fracture energy. Thus, the design and optimization of structural glazing in engineering requires both knowledge of the relevant parameters and mechanisms d

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