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1. |
Record Nr. |
UNINA9910483473203321 |
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Titolo |
Management of early stage breast cancer : basics and controversies / / Beena Kunheri, D. K. Vijaykumar, editors |
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Pubbl/distr/stampa |
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Gateway East, Singapore : , : Springer, , [2021] |
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©2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (XX, 276 p. 42 illus., 28 illus. in color.) |
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Disciplina |
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Soggetti |
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Breast - Cancer - Diagnosis |
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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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Nota di contenuto |
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Breast cancer: current trends across the world -- Role of screening in early stage breast cancer: Guidelines and recommendations -- Basics and controversies in breast cancer imaging -- Pathology of early stage breast cancer -- Molecular classification of early stage breast cancer and its relevance -- Surgical management of early stage breast cancer -- Sentinel lymph node in early stage breast cancer: Evidence, techniques and controversies -- Oncoplasty in early breast cancer -- Risk stratification for adjuvant treatment in early breast cancer -- Role of chemotherapy In early breast cancer -- Role of Anti-human epidermal growth receptor (HER) in early breast cancer -- Adjuvant hormones in early breast cancer:Current status -- Ductal carcinoma in situ: Current consensus in its management -- General guidelines of radiation in early breast cancer -- Techniques of radiation in early stage breast cancer -- Current controversies and guidelines in early breast cancer 1-3 node -- Accelerated partial breast irradiation: Current evidence and techniques in early breast cancer -- Role of regional nodal irradiation in early breast cancer -- Hypofractionation in early breast cancer: Evidence, rationale and practice -- Psychological impact of breast cancer diagnosis and treatment. . |
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Sommario/riassunto |
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Breast cancer, its causes, early detection and treatment have received considerable attention, since this widespread disease is one of the most important health concerns for women. This book provides a comprehensive overview of the diagnostic and therapeutic aspects of |
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the management of early-stage breast cancer, including essential information on basic topics like pathology, and radiology, as well as the latest developments. Further, it discusses all aspects of surgical care, chemotherapy and radiation therapy, together with the controversies and current management guidelines. Helping readers acquire a deep, holistic understanding of the topic, the book is a valuable resource for practitioners and postgraduate students in the field of gynecologic oncology. Moreover, it is a useful aid to decision-making in day-to-day practice for oncologists, residents, fellows and experienced practitioners. |
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2. |
Record Nr. |
UNISA996466060903316 |
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Titolo |
Genetic Programming [[electronic resource] ] : 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings / / edited by Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Isabel Esparcia-Alcázar |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
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ISBN |
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Edizione |
[1st ed. 2007.] |
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Descrizione fisica |
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1 online resource (XI, 382 p.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 4445 |
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Disciplina |
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Soggetti |
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Software engineering |
Computer programming |
Computer science |
Algorithms |
Pattern recognition systems |
Artificial intelligence |
Software Engineering |
Programming Techniques |
Theory of Computation |
Automated Pattern Recognition |
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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Plenary Talks -- A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms -- An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers -- Confidence Intervals for Computational Effort Comparisons -- Crossover Bias in Genetic Programming -- Density Estimation with Genetic Programming for Inverse Problem Solving -- Empirical Analysis of GP Tree-Fragments -- Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems -- Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess -- Fast Genetic Programming on GPUs -- FIFTHTM: A Stack Based GP Language for Vector Processing -- Genetic Programming with Fitness Based on Model Checking -- Geometric Particle Swarm Optimisation -- GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions -- Layered Learning in Boolean GP Problems -- Mining Distributed Evolving Data Streams Using Fractal GP Ensembles -- Multi-objective Genetic Programming for Improving the Performance of TCP -- On Population Size and Neutrality: Facilitating the Evolution of Evolvability -- On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming -- Predicting Prime Numbers Using Cartesian Genetic Programming -- Real-Time, Non-intrusive Evaluation of VoIP -- Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach -- Posters -- A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds -- Analysing the Regularity of Genomes Using Compression and Expression Simplification -- Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming -- Code Regulation in Open Ended Evolution -- Data Mining of Genetic Programming Run Logs -- Evolving a Statistics Class Using Object Oriented Evolutionary Programming -- Evolving Modular Recursive Sorting Algorithms -- Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP -- Genetic Programming Heuristics for Multiple Machine Scheduling -- Group-Foraging with Particle Swarms and Genetic Programming -- Multiple Interactive Outputs in a Single Tree: An Empirical Investigation -- Parsimony Doesn’t Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data -- The Holland Broadcast Language and the Modeling of Biochemical Networks -- The Induction of Finite Transducers Using Genetic Programming. |
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