Noblesse Workshop on Non-Linear Model Based Image Analysis, Stephen Marshall; Neal R. Harvey; Druti Shah

Автор: Vittorio Cortellessa; Antinisca Di Marco; Paola In
Название: Model-Based Software Performance Analysis
ISBN: 3642427618 ISBN-13(EAN): 9783642427619
Издательство: Springer
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Цена: 7680.00 р.
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Описание: This book details both the basic concepts of software performance analysis and state-of-the-art methodologies. It starts from performance primers and goes through software and performance modeling notations to the latest transformation-based methodologies.

Автор: Allan Hanbury; Henning M?ller; Georg Langs
Название: Cloud-Based Benchmarking of Medical Image Analysis
ISBN: 3319496425 ISBN-13(EAN): 9783319496429
Издательство: Springer
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Цена: 6986.00 р.
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Описание: VISCERAL: Evaluation-as-a-Service for Medical Imaging.- Using the Cloud as a Platform for Evaluation and Data Preparation.- Ethical and Privacy Aspects of Using Medical Image Data.- Annotating Medical Image Data.- Datasets created in VISCERAL.- Evaluation Metrics for Medical Organ Segmentation and Lesion Detection.- VISCERAL Anatomy Benchmarks for Organ Segmentation and Landmark Localisation: Tasks and Results.- Retrieval of Medical Cases for Diagnostic Decisions: VISCERAL Retrieval Benchmark.- Automatic Atlas-Free Multi-Organ Segmentation of Contrast-Enhanced CT Scans.- Multi-organ Segmentation Using Coherent Propagating Level Set Method Guided by Hierarchical Shape Priors and Local Phase Information.- Automatic Multi-organ Segmentation using Hierarchically-Registered Probabilistic Atlases.- Multi-Atlas Segmentation Using Robust Feature-Based Registration.- Combining Radiology Images and Clinical Meta-data for Multimodal Medical Case-based Retrieval.- Text and Content-based Medical Image Retrieval in the VISCERAL Retrieval Benchmark.

Автор: Thomas Blaschke; Stefan Lang; Geoffrey Hay
Название: Object-Based Image Analysis
ISBN: 3662501465 ISBN-13(EAN): 9783662501467
Издательство: Springer
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Цена: 35218.00 р.
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Описание: The book addresses the Geographic Information Systems (GIS) and Remote Sensing (RS) communities worldwide. It bridges these two audiences integrating spatial concepts and analysis/modelling techniques into the spectral domain of remote sensing.