Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT
Author: Jun Ma
Publisher: Springer Nature
Published:
Total Pages: 373
ISBN-13: 3031587766
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Imaging of Head and Neck Cancer
Author: A. T. Ahuja
Publisher: Cambridge University Press
Published: 2003-01-06
Total Pages: 240
ISBN-13: 9781841100906
DOWNLOAD EBOOKThis concise integrated handbook looks at all available imaging methods for head and neck cancer, highlighting the strengths and weaknesses of each method. The information is provided in a clinical context and will guide radiologists as to the information the clinician actually needs when managing a patient with head and neck cancer. It will also provide the clinician with the advantages and limitations of imaging. The text therefore deals with Ultrasound, CT and MRI. The initial chapters aim to give the reader a core knowledge, which can be used in imaging by the various methods described. The subsequent chapters are directed towards clinical problems and deal with the common cancers in a logical order.
Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation
Author: Jun Ma
Publisher: Springer Nature
Published: 2023-01-20
Total Pages: 338
ISBN-13: 3031239113
DOWNLOAD EBOOKThis book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022. The 28 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.
Medical Imaging Informatics
Author: Alex A.T. Bui
Publisher: Springer Science & Business Media
Published: 2009-12-01
Total Pages: 454
ISBN-13: 1441903852
DOWNLOAD EBOOKMedical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.
Clinical PET and PET/CT
Author: H. Jadvar
Publisher: Springer Science & Business Media
Published: 2006-01-20
Total Pages: 277
ISBN-13: 1846281008
DOWNLOAD EBOOKA practical manual covering the full spectrum of PET and PET/CT imaging, now in common clinical practice, this book includes images of normal variants, artifacts, and pathologic conditions. Indications for and the relative clinical value of PET in the armamentarium of diagnostic medical imaging are reviewed. The information in the book is organized to be brief, concise, easy-to-understand and readily accessed. This book is intended for all health practitioners who need a concise reference and review of PET imaging indications, protocols and clinical applications. It will be useful to radiologists, nuclear medicine physicians, and clinicians who refer their patients to PET Centers for diagnostic imaging, including neurologists, neurosurgeons, psychiatrists, cardiologists, internists, and oncologists. Radiologic and nuclear medicine technologists, and physicians in training will also benefit from this work.
Decision Forests
Author: Antonio Criminisi
Publisher: Foundations and Trends(r) in C
Published: 2012-03
Total Pages: 162
ISBN-13: 9781601985408
DOWNLOAD EBOOKPresents a unified, efficient model of random decision forests which can be used in a number of applications such as scene recognition from photographs, object recognition in images, automatic diagnosis from radiological scans and document analysis.
Computed Tomography for Technologists: Exam Review
Author: Lois Romans
Publisher: Lippincott Williams & Wilkins
Published: 2018-07-23
Total Pages: 446
ISBN-13: 1496377273
DOWNLOAD EBOOKPublisher's Note: Products purchased from 3rd Party sellers are not guaranteed by the Publisher for quality, authenticity, or access to any online entitlements included with the product. Computed Tomography for Technologists: Exam Review, Second Edition, is intended to be used as a companion to Computed Tomography for Technologists: A Comprehensive Text, Second Edition, and as a review of computed tomography on its own. This is an excellent resource for students preparing to take the advanced level certification exam offered by The American Registry of Radiologic Technologists (ARRT).
MDCT: A Practical Approach
Author: S. Saini
Publisher: Springer Science & Business Media
Published: 2007-03-14
Total Pages: 213
ISBN-13: 8847004136
DOWNLOAD EBOOKThis book describes current examination techniques and advanced clinical applications of state-of-the-art multidetector computed tomography (MDCT) scanners. There are contributions from several distinguished radiologists and clinicians. Each chapter is written from a practical perspective, so that radiologists, residents, medical physicists, and radiology technologists can obtain relevant information about MDCT applications.
Deep Learning and Convolutional Neural Networks for Medical Image Computing
Author: Le Lu
Publisher: Springer
Published: 2017-07-12
Total Pages: 327
ISBN-13: 331942999X
DOWNLOAD EBOOKThis book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
Who's #1?
Author: Amy N. Langville
Publisher: Princeton University Press
Published: 2013-12-01
Total Pages: 265
ISBN-13: 069116231X
DOWNLOAD EBOOKThe mathematics behind today's most widely used rating and ranking methods A website's ranking on Google can spell the difference between success and failure for a new business. NCAA football ratings determine which schools get to play for the big money in postseason bowl games. Product ratings influence everything from the clothes we wear to the movies we select on Netflix. Ratings and rankings are everywhere, but how exactly do they work? Who's #1? offers an engaging and accessible account of how scientific rating and ranking methods are created and applied to a variety of uses. Amy Langville and Carl Meyer provide the first comprehensive overview of the mathematical algorithms and methods used to rate and rank sports teams, political candidates, products, Web pages, and more. In a series of interesting asides, Langville and Meyer provide fascinating insights into the ingenious contributions of many of the field's pioneers. They survey and compare the different methods employed today, showing why their strengths and weaknesses depend on the underlying goal, and explaining why and when a given method should be considered. Langville and Meyer also describe what can and can't be expected from the most widely used systems. The science of rating and ranking touches virtually every facet of our lives, and now you don't need to be an expert to understand how it really works. Who's #1? is the definitive introduction to the subject. It features easy-to-understand examples and interesting trivia and historical facts, and much of the required mathematics is included.
