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Titlebook: Intelligent Virtual Agents; 13th International C Ruth Aylett,Brigitte Krenn,Hiroshi Shimodaira Conference proceedings 2013 Springer-Verlag

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Ligia Batrinca,Giota Stratou,Ari Shapiro,Louis-Philippe Morency,Stefan Scherer of 2D and 3D specimens in digital form.Discusses the challe.Digital pathology has experienced exponential growth, in terms of its technology and applications, since its inception just over a decade ago. Though it has yet to be approved for primary diagnostics, its values as a teaching tool, facilit
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Vivien Kühne,Astrid Marieke Rosenthal-von der Pütten,Nicole C. Krämerther than through a microscope. The formation of tissue folds occur during tissue processing. Their presence may not only cause out-of-focus digitization but can also negatively affect the diagnosis in some cases. In this paper, we have compared five pre-trained convolutional neural networks (CNNs)
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Sangyoon Lee,Cynthia M. LaFond,Andrew E. Johnson,Catherine Vincent,Jason Leigh,Luc Renambotigital pathology. Active learning is an appealing approach that can reduce the amount of annotated data needed to train machine learning models but traditional active learning strategies do not always work well with deep learning. In patch-based machine learning systems, active learning methods typi
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Yingying Wang,Michael Neffcomputational resources has been achieved, there are still problems in WSI that need to be solved. A major challenge is the scan size. The dimensions of digitized tissue samples may exceed 100,000 by 100,000 pixels causing memory and efficiency obstacles for real-time processing. The main contributi
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Derya Ozkan,Louis-Philippe Morencytypes of cancer and specifically for the breast cancer. In whole-slide images the main goal is to detect its presence on the full image. This paper makes several contributions to the mitosis detection task in whole-slide in order to improve the current state of the art and efficiency. A new coarse t
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Kirsten Bergmann,Sebastian Kahl,Stefan Kopptypes of cancer and specifically for the breast cancer. In whole-slide images the main goal is to detect its presence on the full image. This paper makes several contributions to the mitosis detection task in whole-slide in order to improve the current state of the art and efficiency. A new coarse t
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Yu Ding,Catherine Pelachaud,Thierry Artièressom of this area have come from many disciplines, including statistics, psychology, linguistics, computer science, biology, taxonomy, switching theory, communication theory, control theory, and operations research. Many different approaches have been proposed and a number of books have been publishe
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