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1. |
Record Nr. |
UNISA996384236803316 |
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Autore |
Bilson Thomas <1546 or 7-1616.> |
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Titolo |
The perpetual gouernment of Christs Church [[electronic resource] ] : Wherein are handled, the fatherly superioritie which God first established in the patriarkes for the guiding of his Church, and after continued in the tribe of Leui and the prophets; and lastly confirmed in the New Testament to the Apostles and their successors: as also the points in question at this day, touching the Iewish Synedrion: the true kingdome of Christ: the Apostles commission: the lay presbyterie: the distinction of bishops from presbyters, and their succession from the Apostles times and hands: the calling and moderating of prouinciall synodes by primates and metropolitanes: the alloting of diœceses, and the popular electing of such as must feede and watch the flock: and diuers other points concerning the pastorall regiment of the house of God: by Tho. Bilson Warden of Winchester College. Perused and allowed by publike authority |
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Pubbl/distr/stampa |
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London, : Printed [by W. Hall] for Thomas Adams, 1610 |
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Descrizione fisica |
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Soggetti |
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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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Printer's name from STC. |
The last leaf is blank. |
Reproduction of the original in Cambridge University Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910299486103321 |
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Titolo |
Shape Analysis in Medical Image Analysis / / edited by Shuo Li, João Manuel R. S. Tavares |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : 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 (441 p.) |
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Collana |
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Lecture Notes in Computational Vision and Biomechanics, , 2212-9413 ; ; 14 |
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Disciplina |
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Soggetti |
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Biomedical engineering |
Computer vision |
Radiology |
Biomedical Engineering and Bioengineering |
Computer Vision |
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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. |
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Nota di contenuto |
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Preface -- Part I: Methods and Models -- 1. Shape Analysis for Brain Structures: A Review, by Bernard Ng, Matthew Toews, Stanley Durrleman, Yonggang Shi -- 2. Shape Analysis in Molecular Imaging, by Fei Gao, Pengcheng Shi -- 3. Variational Shape Representation for Modeling, Elastic Registration and Segmentation, by Amal A. Farag, Ahmed Shalaby, Aly A. Farag -- 4. Image Computing Based on Bayesian Models, by Zhong Xue, Stephen Wong -- 5. Shape-Constrained Deformable Models and Applications in Medical Imaging, by Jürgen Weese, Irina Waechter-Stehle, Lyubomir Zagorchev, Jochen Peters -- Part II: Application Cases -- 6. Accurate Pathology Segmentation in FLAIR MRI for Robust Shape Characterization, by April Khademi, Alan R. Moody, Anastasios Venetsanopoulos -- 7. Groupwise Registration of Brain Images, by Zhenyu Tang, Yong Fan -- 8. Modeling of Lung Nodules from LDCT of the Human Chest: Algorithms and Evaluation for CAD Systems, by Amal A. Farag, James Graham, Salwa Elshazly, Mohamed Al-Mogy, Aly Farag -- 9. Analyzing the Shape and Motion of the Lung and Heart in Dynamic Pulmonary Imaging, by Jianming Liang, Tim McInerney, Demetri Terzopoulos -- 10. Epithelial Cell |
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Segmentation via Shape Ranking, by Alberto Santamaria-Pang, Yuchi Huang, Jens Rittscher -- 11. Computational Modeling of the Spine, by T. Klinder, S. Kadoury, C. Lorenz -- 12. Shape Constraints for the Left Ventricle Segmentation from Cardiac Cine MRI Based on Snake Models, by Yuanquan Wang, Yuwei Wu, Yunde Jia -- 13. An Optical Flow Approach to Assessment of Ventricular Shape Change Based on Echocardiography, by Amir A. Amini, Nirmanmoh Bhatia, Rita Longaker, Motaz Alshaher, Marcus Stoddard and Vahid Tavakoli. |
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Sommario/riassunto |
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This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification, and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms. This work will be of interest to researchers, students, and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics. . |
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