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Titlebook: Imaging Non-traumatic Abdominal Emergencies in Pediatric Patients; Vittorio Miele,Margherita Trinci Book 2016 Springer International Publi

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Margherita Trinci,Claudia Lucia Piccolo,Antonio Alessandro Pallottino,Michele Galluzzo,Eugenio Rossil neural network (CNN) architectures for semantic segmentation are often composed of a downsampling path which computes features at multiple scales, followed by an upsampling path, required to recover those features at the same scale as the input image. Skip connections allow features discovered in
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Grazia Loretta Buquicchio,Gavina Cuneo,Stefano Giannecchini,Caterina Pizzi,Carmelo Rende,Margherita Multiple Sclerosis (MS), assisting in the estimation of lesion volume, a common clinical measure of disease activity and stage. In the context of clinical trials, however, a wider number of metrics are required to determine the “burden of disease” and activity in order to measure treatment efficacy
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Maria Elena Latini,Sara Riccioni,Maria Napoletano,Nicola Recchia,Michele Scialpiarns from dual reciprocal adversarial learning approaches. To enhance the generalization across the segmentation predictions and to make the segmentation network robust, we adhere to the Virtual Adversarial Training approach by generating more adversarial examples via adding some noise on original p
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