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1. |
Record Nr. |
UNINA9910300203503321 |
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Titolo |
Advances in Image-Guided Urologic Surgery / / edited by Joseph C. Liao, Li-Ming Su |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (293 p.) |
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Disciplina |
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610 |
616.0757 |
616.6 |
616994 |
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Soggetti |
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Urology |
Radiology |
Oncology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Endoscopic Fluorescence Imaging of Bladder Cancer: Photodynamic Diagnosis and Confocal Laser Endomicroscopy -- Narrow Band Imaging for Urothelial Cancer -- Optical Coherence Tomography in Bladder Carcinoma -- Optical Coherence Tomography for Prostate Cancer and Beyond -- Fluorescence Image-Guided Robotic Surgery -- Multiphoton Microscopy in Urologic Surgery -- Hyperspectral Imaging of Renal Oxygenation (Near-Infrared Tissue Oximetry for Renal Ischemia) -- Light Reflectance Spectroscopy and Autofluorescence (Kidney and Prostate) -- Intraoperative Doppler Ultrasound During Robotic Surgery -- TRUS of the Prostate: State of the Art -- Ultrasound-Guided Prostate Cryotherapy -- Endoluminal Ultrasonography -- Multiparametric Magnetic Resonance Imaging for Prostate Cancer -- MR-Guided Prostate Interventions -- CT-Guided Renal Ablation- MR-Guided Renal Ablation -- Augmented Reality for Percutaneous Renal Interventions -- Image Guidance in Robotic Assisted Renal Surgery -- Urologic Surgery Training Using Computer-Assisted Simulators -- Molecular Imaging in Urology. |
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Sommario/riassunto |
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This book provides an overview of the current state-of-art in combining advances in biomedical imaging with intraoperative navigation and preoperative planning for urologic surgery. These advances hold great promise in improving diagnostic and therapeutic urologic interventions to improve patient outcomes. Leading experts in this exciting emerging field covers early clinical and pre-clinical applications of optical, ultrasound, cross-sectional, and computer-assisted imaging in urologic surgery. Advances in Image-Guided Urologic Surgery provides a unique and valuable resource for audience with clinical and research interest in minimally invasive surgery, endourology, urologic oncology, imaging, and biomedical engineering. |
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2. |
Record Nr. |
UNINA9910298983803321 |
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Autore |
Zhang Jian |
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Titolo |
Automatic Generation of Combinatorial Test Data / / by Jian Zhang, Zhiqiang Zhang, Feifei Ma |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (97 p.) |
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Collana |
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SpringerBriefs in Computer Science, , 2191-5768 |
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Disciplina |
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Soggetti |
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Software engineering |
Computer science—Mathematics |
Artificial intelligence |
Software Engineering |
Math Applications in Computer Science |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction to Combinatorial Testing -- Mathematical Construction |
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Methods -- One Test at a Time -- The IPO Family -- Evolutionary Computation and Metaheuristics -- Evolutionary Computation and Metaheuristics -- Tools and Benchmarks -- Other Related Topics. |
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Sommario/riassunto |
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This book reviews the state-of-the-art in combinatorial testing, with particular emphasis on the automatic generation of test data. It describes the most commonly used approaches in this area - including algebraic construction, greedy methods, evolutionary computation, constraint solving and optimization - and explains major algorithms with examples. In addition, the book lists a number of test generation tools, as well as benchmarks and applications. Addressing a multidisciplinary topic, it will be of particular interest to researchers and professionals in the areas of software testing, combinatorics, constraint solving and evolutionary computation. |
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