Описание: This is the first book that discusses subjects of diagnosis, therapy, therapy assessment, and prognosis of breast cancer in one single volume. Cancer killed 6.7
million people around the world in 2002 and this figure is expected to rise to 10.1 million in 2020. Approximately, 189,510 new cases of breast cancer were reported in 2007 in the United
States, and 40,910 died in the same year.
Focusing on Breast Carcinoma, this first volume in the series "Methods of Cancer Diagnosis, Therapy and Prognosis" brings
together 56 leading scientists from around the world to deliver a comprehensive treatise on all aspects of breast cancer, including diagnosis, treatments and prognosis. Scientists and
clinicians have contributed state of the art chapters on their respective areas of expertise providing the reader a whole field view of breast cancer management. This fully illustrated
volume: presents a constructive evaluation of commonly used methods for elucidating primary and secondary cancer initiation, progression, relapse, and metastasis; highlights methods
of breast cancer diagnosis and treatment assessment including various imaging modalities such as ultrasound, computed tomography, magnetic resonance imaging,
immunohistochemistry and histochemistry; discusses detailed therapeutic protocols, including both their benefits and side-effects; discusses examples of breast cancer treatments
including chemotherapy, radiation, chemoradiation, surgery, hormonal - and immunotherapy; details the molecular processes that lead to the development and proliferation of cancer
cells; and, includes recent major advances in cancer diagnosis and therapy assessment.
Professor Hayat has summarized the problems associated with the complexities of
research publications and has been successful in editing a must-read volume for oncologists, cancer researchers
medical teachers and students of cancer biology.
Автор: M. A. Hayat (Ed.) Название: Methods of cancer diagnosis, therapy and prognosis ISBN: 1402095449 ISBN-13(EAN): 9781402095443 Издательство: Springer Рейтинг: Цена: 45712.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discusses various methodologies for the diagnosis, therapy and prognosis of colorectal cancer. This title highlights many methods for diagnosing colorectal cancer at various stages of development, including immunohistochemistry, in situ hybridization immunoscintigraphy, RT- PCR, free circulating DNA levels in blood and stool, CT, PET, and MRI.
Описание: This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.
Автор: Nayak Название: Advanced Machine Learning Approaches in Cancer Prognosis ISBN: 3030719774 ISBN-13(EAN): 9783030719777 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer.
Автор: B.A. Stoll Название: Pointers to Cancer Prognosis ISBN: 0898388767 ISBN-13(EAN): 9780898388763 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The last 30 years have seen little improvement in the age-adjusted mortality rates for most common types of cancer, and until we develop more effective and less damaging treatment modalities for these tumours, selection of each patient`s treatment must depend on prognostic pointers.
Описание: This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
