Pro C With Net 3 0 Special Edition

Pro C# with .NET 3.0, Special Edition

C# 2005 has enjoyed huge success in the year since its launch, firmly establishing itself as the premier language for development on Microsofts successful .NET 2.0 platform. With the launch of the .NET 3.0 extensions in early 2007, the horizons of this language are being extended, and it is becoming even more powerful as it is able to leverage the new .NET 3.0 Foundations. In recognition of this, Apress presents Pro C# with .NET 3.0, Special Edition to provide you with a complete A-to-Z reference for using C# with the .NET 2.0 platform and the .NET 3.0 extensions. The book contains new chapters that explore the interactions between the existing framework and the new extensions, giving you an edge when you evaluate and implement .NET 3.0 for the first time. To provide even more support, a bonus PDF download will be available with each purchase, offering over 500 pages of carefully selected additional content to help broaden your understanding of both .NET 2.0 and .NET 3.0.

The Academy and Literature

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography