缺乏 发表于 2025-3-23 13:17:27
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Modeling Barrett’s Esophagus Progression Using Geometric Variational Autoencodersonstruction loss, and generative capacity. Additionally, we present a novel autoencoder architecture that can generate qualitative images without the need for a variational framework while retaining the benefits of an autoencoder, such as improved stability and reconstruction quality.Ingrained 发表于 2025-3-23 22:37:45
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0302-9743 ubmit their work in the field of medical image analysis around the central theme of cancer and early cancer detection, progression, inflammation understanding, multimodality data, and computer-aided navigation..978-3-031-45349-6978-3-031-45350-2Series ISSN 0302-9743 Series E-ISSN 1611-3349通知 发表于 2025-3-24 07:45:59
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Christopher J. Lucas,John W. Murry Jr.onstruction loss, and generative capacity. Additionally, we present a novel autoencoder architecture that can generate qualitative images without the need for a variational framework while retaining the benefits of an autoencoder, such as improved stability and reconstruction quality.无畏 发表于 2025-3-24 19:33:20
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