Deep-Learning-Based Digitization of Protein-Self-Assembly to Print Biodegradable Physically Unclonable Labels for Device Security

The increasingly pervasive problem of counterfeiting affects both individuals and industry.In particular, public health and medical fields face threats to device authenticity and patient privacy, especially in the post-pandemic era.Physical unclonable functions (PUFs) present a modern solution using copyright-proof security labels to securely authe

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Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features

Abstract Background Multiparametric positron emission tomography/magnetic resonance imaging (mpPET/MRI) shows clinical potential for detection and classification of breast lesions.Yet, the contribution of features for computer-aided segmentation and diagnosis (CAD) need to be better understood.We proposed a data-driven machine learning approach for

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