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Abstract: This research addresses the assessment of adipose tissue (AT) and spatial distribution of visceral (VAT) and subcutaneous fat (SAT) in the trunk from standardized magnetic resonance imaging at 3 T, thereby demonstrating the feasibility of deep learning (DL)-based image segmentation in a large population-based cohort in Germany (five sites). Volume and distribution of AT play an essential role in the pathogenesis of insulin resistance, a risk factor of developing metabolic/cardiovascular diseases. Cross-validated training of the DL-segmentation model led to a mean Dice similarity coefficient of >0.94, corresponding to a mean absolute volume deviation of about 22 ml. SAT is significantly increased in women compared to men, whereas VAT is increased in males. Spatial distribution shows age- and body mass index-related displacements. DL-based image segmentation provides robust and fast quantification of AT (≈15 s per dataset versus 3 to 4 hours for manual processing) and assessment of its spatial distribution from magnetic resonance images in large cohort studies
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In this, the first novel by author Lilian Francis, we follow the fortunes of the Kassmann family, their friends and their enemies. Papa Max, nearing the end of his days and dreaming of returning just once more to his beloved Austria, asks his granddaughter to go on a journey that fills her with both dread and excitement. Can she possibly fulfil the old man's impossible dreams?
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Family secrets?Brett Carmichael walked out of nowhere into Lauren's life. All she knew about him was that he had gorgeous brown eyes and a long, lean body. He didn't seem to have a heart or a past. Brett had come home after fifteen years of self–imposed exile. The last thing he had expected was to find Lauren living in his house. She was the unknown woman who had haunted his dreams for years. Lauren obviously had no idea who he was, and he certainly wasn't going to tell her!
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