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Book Radiomics in Gastric Cancer

Download or read book Radiomics in Gastric Cancer written by Bo Zhang and published by Frontiers Media SA. This book was released on 2023-12-28 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gastric cancer (GC) is one of the most common malignancies worldwide. It is particularly challenging due to common detection at the advanced stages of the diseases preventing potential therapeutic and treatment strategies for patients. Common forms of treatment include chemotherapy which has been found to improve the survival rate and overall quality of life for patients with unresectable, locally advanced or at the metastatic stages of the disease. However, chemotherapy has also proven to cause significant side effects in some patients. Lymphatic metastasis has been found to be common in gastric cancer patients. Lymph vascular invasion (LVI) has been identified to be associated to the infiltration of tumor cells in the arteries, veins or lymphatic vessels. This has been identified to prompt local recurrence and the distant metastasis of various tumors. This has led to the LVI status as an independent prognostic factor and studies have found the occurrence of pathological LVI is associated with gastric cancer progression and linked to poor clinical prognosis and low survival rate.

Book Recent Advancements in Biomarkers and Early Detection of Gastrointestinal Cancers

Download or read book Recent Advancements in Biomarkers and Early Detection of Gastrointestinal Cancers written by Pallaval Veera Bramhachari and published by Springer Nature. This book was released on 2020-07-21 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes various novel biomarkers for the early diagnosis of gastrointestinal (GI) cancers. It also highlights recent advances in understanding the role of molecular markers and biomarkers, such as volatile biomarkers, serum biomarkers, predictive and prognostic molecular markers for the early detection of GI cancers. Further, it discusses novel biomarkers, including circulating microRNAs, serum microRNA and plasma microRNA in GI cancer. The book presents breakthrough technologies like ultra-sensitive nano-chips, nanosensors, nanodevices, biosensors, electrochemical biosensors, optical biosensors, DNA biosensors, synthetic biology devices, and 'omics' technologies for the early diagnosis of gastrointestinal cancer. In addition it examines the potential of genome-wide association studies, big data analytics, computation biology, systems biology, and nanotechnology for early diagnostics and therapeutics for gastrointestinal cancer, with a focus on personalized cancer treatment. The book is a valuable source for researchers and clinicians engaged in detection and diagnosis of gastrointestinal cancers.

Book Computer Age Statistical Inference

Download or read book Computer Age Statistical Inference written by Bradley Efron and published by Cambridge University Press. This book was released on 2016-07-21 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Book Radiologic Diagnosis of Gastric Cancer

Download or read book Radiologic Diagnosis of Gastric Cancer written by L.M. Portnoy and published by Springer Science & Business Media. This book was released on 2006-02-21 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: L.M. Portnoy is one of Russia's leading radiologists. This book is the result of his more than 30 years' experience in the field of cancer diagnosis. The author reviews for us the potentials – currently greatly underestimated – of radiological examination and the traditional X-ray for the diagnosis of gastric cancer. This comprehensive overview of methodological approaches to the X-ray examination of the stomach and corrected tumor semiotics will help practicing physicians and residents to diagnose even the most minuscule tumors. Portnoy covers all diagnostic methods related to abdominal cancer, with thorough explanations of the methodological, semiotic, and organizational aspects. This work by one of the best-known Russian specialists in X-ray diagnosis will be of interest not only for all those who want to know more about the history of radiology as a profession, but also for students, who can study the tips and tricks of a master.

Book Radiomics and Radiogenomics

Download or read book Radiomics and Radiogenomics written by Ruijiang Li and published by CRC Press. This book was released on 2019-07-09 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book’s expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and evaluation of therapy response. This book is intended for audiences including imaging scientists, medical physicists, as well as medical professionals and specialists such as diagnostic radiologists, radiation oncologists, and medical oncologists. Features Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics Shows how they are improving diagnostic and prognostic decisions with greater efficacy Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas Covers applications in oncology and beyond, covering all major disease sites in separate chapters Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation

Book Staging Laparoscopy

    Book Details:
  • Author : P. Hohenberger
  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • ISBN : 3642562906
  • Pages : 206 pages

Download or read book Staging Laparoscopy written by P. Hohenberger and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Included here is a discussion of the pathophysiological aspects and risks of laparoscopic staging (such as trocar metastases) on the basis of international experience.

Book Diseases of the Abdomen and Pelvis 2018 2021

Download or read book Diseases of the Abdomen and Pelvis 2018 2021 written by Juerg Hodler and published by Springer. This book was released on 2018-03-20 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book deals with imaging of the abdomen and pelvis, an area that has seen considerable advances over the past several years, driven by clinical as well as technological developments. The respective chapters, written by internationally respected experts in their fields, focus on imaging diagnosis and interventional therapies in abdominal and pelvic disease; they cover all relevant imaging modalities, including magnetic resonance imaging, computed tomography, and positron emission tomography. As such, the book offers a comprehensive review of the state of the art in imaging of the abdomen and pelvis. It will be of interest to general radiologists, radiology residents, interventional radiologists, and clinicians from other specialties who want to update their knowledge in this area.

Book Machine Learning Models and Algorithms for Big Data Classification

Download or read book Machine Learning Models and Algorithms for Big Data Classification written by Shan Suthaharan and published by Springer. This book was released on 2015-10-20 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs (Matlab and R) presented in this book have been simplified, hardcoded, repeated, or spaced for improvements. They provide vehicles to test and understand the complicated concepts of various topics in the field. It is expected that the readers adopt these programs to experiment with the examples, and then modify or write their own programs toward advancing their knowledge for solving more complex and challenging problems. The presentation format of this book focuses on simplicity, readability, and dependability so that both undergraduate and graduate students as well as new researchers, developers, and practitioners in this field can easily trust and grasp the concepts, and learn them effectively. It has been written to reduce the mathematical complexity and help the vast majority of readers to understand the topics and get interested in the field. This book consists of four parts, with the total of 14 chapters. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The second part covers the topics that can explain the systems required for processing big data. The third part presents the topics required to understand and select machine learning techniques to classify big data. Finally, the fourth part concentrates on the topics that explain the scaling-up machine learning, an important solution for modern big data problems.

Book Multimodal management of advanced gastric cancer

Download or read book Multimodal management of advanced gastric cancer written by Pankaj Kumar Garg and published by Frontiers Media SA. This book was released on 2023-02-02 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Radiomics Based Tumor Phenotyping in Precision Medicine

Download or read book Radiomics Based Tumor Phenotyping in Precision Medicine written by Bo Gao and published by Frontiers Media SA. This book was released on 2022-03-21 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Computational Radiomics for Cancer Characterization

Download or read book Computational Radiomics for Cancer Characterization written by Omar Sultan Al-Kadi and published by Frontiers Media SA. This book was released on 2022-10-21 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Biomedical Data Mining for Information Retrieval

Download or read book Biomedical Data Mining for Information Retrieval written by Sujata Dash and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.

Book Early Gastrointestinal Cancers

Download or read book Early Gastrointestinal Cancers written by Florian Otto and published by Springer. This book was released on 2014-12-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Recent Results in Cancer Research volume contains the majority of the invited expert contributions from the First St. Gallen EORTC Gastrointestinal Cancer Conference, held on 22-24 March 2012 in St. Gallen, Switzerland. Written by some of the world’s leading experts in the field, the volume constitutes a comprehensive update on recent developments in the imaging, molecular biology, pathology, and multidisciplinary management of early cancer of the gastrointestinal tract. The latest recommendations regarding diagnosis and treatment are provided, and areas of consensus and controversy, identified. While the principal focus is on esophageal and gastric cancer, advances in the treatment of colorectal and pancreatic cancer are also discussed in some detail. This book will be of interest to every clinician involved in the care of patients with gastrointestinal malignancies.​

Book Novel Methods for Oncologic Imaging Analysis  Radiomics  Machine Learning  and Artificial Intelligence

Download or read book Novel Methods for Oncologic Imaging Analysis Radiomics Machine Learning and Artificial Intelligence written by Xuelei Ma and published by Frontiers Media SA. This book was released on 2021-09-23 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Gastric Cancer  the 25 year R Evolution

Download or read book Gastric Cancer the 25 year R Evolution written by Giovanni de Manzoni and published by Springer Nature. This book was released on 2021-10-15 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Twenty-five years ago, a monograph on gastric cancer was published by the Italian Society of Surgery: that book is recognized as a milestone in the management of these tumors in Italy. Oncological and surgical knowledge in the field of gastric cancer have changed dramatically over the last 25 years. The aim of this book is to offer an essential update on current diagnostic approaches and optimal treatment strategies. It gives comprehensive information on gastric cancer not neglecting the basic sciences, which can shed light on the carcinogenesis mechanisms involved in this pathology. The principles of tailored and multimodal treatment are examined according to the latest guidelines with the aim of providing a valuable synopsis for clinicians. The book not only reviews what has changed in the field of gastric cancer over the past quarter century but also offers the reader a glimpse of the future by describing the ongoing surgical and oncological trials which focus on new treatment frontiers such as immunotherapy and target therapy. It also seeks to incorporate the latest discoveries based on molecular classifications. Further, the book reflects the findings and experiences of Italian experts belonging to the GIRCG (Italian Research Group for Gastric Cancer) and will offer an excellent guide for oncological surgeons in their daily practice of caring for patients affected by gastric cancer.

Book Smart Computational Strategies  Theoretical and Practical Aspects

Download or read book Smart Computational Strategies Theoretical and Practical Aspects written by Ashish Kumar Luhach and published by Springer. This book was released on 2019-03-22 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers new developments and advances in the field of Computational Strategies for next-generation computing. The contributing authors share diverse perspectives on and extensive discussions of issues concerning the theory, applications, and future prospects. Addressing computing methodologies, hardware information systems and networks, this interdisciplinary book will appeal to all scholars with an interest in computing methodologies, hardware information systems and networks.

Book Radiomics and Its Clinical Application

Download or read book Radiomics and Its Clinical Application written by Jie Tian and published by Academic Press. This book was released on 2021-06-03 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice. An introduction to the concepts of radiomics In-depth presentation of the core technologies and methods Summary of current radiomics research, perspective on the future of radiomics and the challenges ahead An introduction to several platforms that are planned to be built: cooperation, data sharing, software, and application platforms