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The Thorax
This book highlights the differences, in terms of neoplastic dissemination pathways, between various types of thoracic cancers. It presents and discusses a comprehensive schematic overview of tumors of the lung parenchyma, of the mediastinum, of the pleura, and of the chest wall. For each tumor, it details the local spread and the lymphatic and vascular dissemination, and it describes the challenging staging of lung tumors with mutations. Illustrations and artwork enrich the content and help readers to understand and visualize tumor spread. The book is of great interest to professionals involved in the study, diagnosis and treatment of thoracic pathologies, as well as to residents in radiology, oncology and pulmonology.
Bronchiectasis
This book presents state of the art knowledge and practice in the rapidly developing field of bronchiectasis not due to cystic fibrosis. The focus is especially on diagnosis and existing and emerging therapies, but the book also covers a wide range of other key topics, from pathophysiology, histopathology, and immunology through to pulmonary rehabilitation, nursing care, and management in primary care and pediatric settings. While non–cystic fibrosis bronchiectasis was formerly regarded as an “orphan” disease, international data reveal an increase in its prevalence in recent years. Accordingly, there has been renewed interest in the disease, resulting in more clinical research and the development of new treatments. The impact of bronchiectasis on healthcare systems is substantial and it has a clear attributable mortality. In covering all aspects of the disease, this book will be of interest to respiratory, internal medicine, and infectious disease fellows as well as specialists, final-year medical students, nurses and physiotherapists. The authors are leading experts and chairs of the steering committee of EMBARC, the first truly international bronchiectasis network.
Artificial Intelligence in Cardiothoracic Imaging
This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and pat...
Multi-Detector CT Imaging
Developments in CT technology during the last 20 years have impressively improved its diagnostic potentialities. Part of a two-volume set that covers all aspects of CT imaging, Multi-Detector CT Imaging: Principles, Head, Neck, and Vascular Systems contains easily searchable clinical specialty chapters that provide specific information without need
Thoracic Imaging
Packed with over 600 high quality illustrations, this practical handbook covers both the key principles of thoracic imaging, including the relevant principles, dose considerations, and radiological signs and their meaning, and the different pulmonary diseases.
Grainger & Allison's Diagnostic Radiology E-Book
Long recognized as the standard general reference in the field, this completely revised edition of Grainger and Allison?s Diagnostic Radiology provides all the information that a trainee needs to master to successfully take their professional certification examinations as well as providing the practicing radiologist with a refresher on topics that may have been forgotten. Organized along an organ and systems basis, this resource covers all diagnostic imaging modalities in an integrated, correlative fashion and focuses on those topics that really matter to a trainee radiologist in the initial years of training. "...the latest edition ... continues the fine tradition set by its predecessors......
Atlas of Diffuse Lung Diseases
This atlas is designed as an easy-to-use reference guide that identifies and illustrates the key patterns of diffuse lung diseases observed on high-resolution computed tomography (HRCT) and then documents in more detail the characteristics and appearances of the individual diseases, grouped on the basis of their prevalent pattern. A further feature of the book is its interdisciplinary nature: contributions from experts in various specialties are tightly interwoven throughout and many pathologic correlations are included. Less experienced readers will find that this atlas, with its wealth of figures and helpful color coding, steers them towards correct interpretation when confronted by the mu...
Biophysical Methods for Diagnosing Human Tissue Anomalies
Medical diagnosis of tissue anomalies, particularly cancer, is often limited by the constraints of current imaging technologies. This book introduces two approaches to address this issue: the imaging and the non-imaging methods. In the imaging category, the book unveils a pioneering technique based on radio tomosynthesis. Initially proven effective in detecting breast anomalies, this imaging method is now under evaluation for its potential in identifying brain anomalies. For non-imaging diagnostics, it delves into Fourier-transform infrared spectroscopy (FTIR), a technique known for its speed and reliability. The book demonstrates its successful application in diagnosing a range of cancers, including oral, uterine, ovarian, gastrointestinal, colorectal, and skin cancers. Furthermore, it explores its utility in predicting embryo quality and assessing pressure injuries. To augment these methods, the book employs machine learning algorithms, evaluating their efficacy in creating discriminative models for tissue anomalies.
Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data
Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overv...
Artificial Intelligence Technologies for Computational Biology
This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic ...
