Whole Slide Imaging
Whole Slide Imaging

Author: Anil V. Parwani

Publisher: Springer Nature

Published: 2021-10-29

Total Pages: 253

ISBN-13: 3030833321

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This book provides up-to-date and practical knowledge in all aspects of whole slide imaging (WSI) by experts in the field. This includes a historical perspective on the evolution of this technology, technical aspects of making a great whole slide image, the various applications of whole slide imaging and future applications using WSI for computer-aided diagnosis The goal is to provide practical knowledge and address knowledge gaps in this emerging field. This book is unique because it addresses an emerging area in pathology for which currently there is only limited information about the practical aspects of deploying this technology. For example, there are no established selection criteria for choosing new scanners and a knowledge base with the key information. The authors of the various chapters have years of real-world experience in selecting and implementing WSI solutions in various aspects of pathology practice. This text also discusses practical tips and pearls to address the selection of a WSI vendor, technology details, implementing this technology and provide an overview of its everyday uses in all areas of pathology. Chapters include important information on how to integrate digital slides with laboratory information system and how to streamline the “digital workflow” with the intent of saving time, saving money, reducing errors, improving efficiency and accuracy, and ultimately benefiting patient outcomes. Whole Slide Imaging: Current Applications and Future Directions is designed to present a comprehensive and state-of the-art approach to WSI within the broad area of digital pathology. It aims to give the readers a look at WSI with a deeper lens and also envision the future of pathology imaging as it pertains to WSI and associated digital innovations.

Modern Techniques in Cytopathology
Modern Techniques in Cytopathology

Author: M.M. Bui

Publisher: Karger Medical and Scientific Publishers

Published: 2020-01-13

Total Pages: 120

ISBN-13: 3318065765

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In the era of precision medicine, physicians are increasingly in need of more definitive diagnostic, prognostic, and predictive information derived from small biopsy specimens such as cytology samples in order to guide effective patient care. Cytopathology is well poised to meet this challenge. Whilst the traditional cytomorphologic component of cytology practice is still valid, enormous advances have been made in the field of cytopathology thanks to transformative technology and innovative individuals that have augmented the cytologists' ability to meet the demands of modern medicine. The purpose of this book is to describe, illustrate, and review many of the most recent developments regarding modern techniques employed in cytopathology. This latest monograph is intended for all cytologists including cytopathologists, cytotechnologists, cytology lab assistants, trainees, research scientists, and anyone who is interested in the field of cytopathology. We have invited pioneering experts in their respective fields to author these chapters. This book is not only the culmination of their groundbreaking work and effort but also presents a critical review of the current literature. We have attempted to provide readers with an informative and comprehensive aid so that they may better appreciate how emerging technology has been applied to cytology. Each chapter in this book presents a stand-alone contemporary review of emerging topics in cytopathology. We hope that you will find this monograph thought-provoking and a valuable reference for your practice.

Image-Based Computer-Assisted Radiation Therapy
Image-Based Computer-Assisted Radiation Therapy

Author: Hidetaka Arimura

Publisher: Springer

Published: 2017-01-26

Total Pages: 383

ISBN-13: 9811029458

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This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and research findings in the field of image-based computer-assisted radiation therapy. In high-precision radiation therapies, novel approaches in image engineering including computer graphics, image processing, pattern recognition, and computational anatomy play important roles in improving the accuracy of radiation therapy and assisting decision making by radiation oncology professionals, such as radiation oncologists, radiation technologists, and medical physicists, in each phase of radiation therapy. All the topics presented in this book broaden understanding of the modern medical technologies and systems for image-based computer-assisted radiation therapy. Therefore this volume will greatly benefit not only radiation oncologists and radiologists but also radiation technologists, professors in medical physics or engineering, and engineers involved in the development of products to utilize this advanced therapy.

Digital Pathology
Digital Pathology

Author: Liron Pantanowitz

Publisher:

Published: 2017

Total Pages: 304

ISBN-13: 9780891896104

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The definitive, complete reference of digital pathology! An extraordinarily comprehensive and complete book for individuals with anything from minimal knowledge to deep, accomplished experience in digital pathology. Easy to read and plainly written, Digital Pathology examines the history and technological evolution of digital pathology, from the birth of scanning technology and telepathology to three-dimensional imaging on large multi-touch displays and computer aided diagnosis. A must-have book for anyone wishing to learn more about and work in this exciting and critical information environment including pathologists, laboratory professionals, students and any other medical practitioners with a particular interest in the history and future of digital pathology. It can also be a useful reference for anyone, medical or non-medical, who have an interest in learning more about the field. Digital pathology is truly a game changer, and this book is a crucial tool for anyone wishing to know more. Subjects discussed in depth include: Static digital imaging; basics and clinical use. Digital imaging processes. Telepathology. While slide imaging. Clinical applications of whole slide imaging. Digital pathology for educational, quality improvement, research and other settings. Forensic digital imaging.

Digital Pathology
Digital Pathology

Author: Constantino Carlos Reyes-Aldasoro

Publisher: Springer

Published: 2019-07-03

Total Pages: 200

ISBN-13: 3030239373

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This book constitutes the refereed proceedings of the 15th European Congress on Digital Pathology, ECDP 2019, held in Warwick, UK in April 2019. The 21 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The congress theme will be Accelerating Clinical Deployment, with a focus on computational pathology and leveraging the power of big data and artificial intelligence to bridge the gaps between research, development, and clinical uptake.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

Author: Anne L. Martel

Publisher: Springer Nature

Published: 2020-10-02

Total Pages: 842

ISBN-13: 3030597229

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The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography

Haschek and Rousseaux's Handbook of Toxicologic Pathology
Haschek and Rousseaux's Handbook of Toxicologic Pathology

Author: Wanda M Haschek

Publisher: Academic Press

Published: 2013-05-01

Total Pages: 3055

ISBN-13: 0124157653

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Haschek and Rousseaux's Handbook of Toxicologic Pathology is a key reference on the integration of structure and functional changes in tissues associated with the response to pharmaceuticals, chemicals and biologics. The 3e has been expanded by a full volume, and covers aspects of safety assessment not discussed in the 2e. Completely revised with many new chapters, it remains the most authoritative reference on toxicologic pathology for scientists and researchers studying and making decisions on drugs, biologics, medical devices and other chemicals, including agrochemicals and environmental contaminants. New topics include safety assessment, the drug life cycle, risk assessment, communication and management, carcinogenicity assessment, pharmacology and pharmacokinetics, biomarkers in toxicologic pathology, quality assurance, peer review, agrochemicals, nanotechnology, food and toxicologic pathology, the environment and toxicologic pathology and more. - Provides new chapters and in-depth discussion of timely topics in the area of toxicologic pathology and broadens the scope of the audience to include toxicologists and pathologists working in a variety of settings - Offers high-quality and trusted content in a multi-contributed work written by leading international authorities in all areas of toxicologic pathology - Features hundreds of full color images in both the print and electronic versions of the book to highlight difficult concepts with clear illustrations

Signal Processing in Medicine and Biology
Signal Processing in Medicine and Biology

Author: Iyad Obeid

Publisher: Springer Nature

Published: 2020-03-16

Total Pages: 287

ISBN-13: 3030368440

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This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson’s; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.

Biomedical Signal and Image Processing with Artificial Intelligence
Biomedical Signal and Image Processing with Artificial Intelligence

Author: Chirag Paunwala

Publisher: Springer Nature

Published: 2023-01-09

Total Pages: 423

ISBN-13: 3031158164

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This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications. Provides insights into medical signal and image analysis using artificial intelligence; Includes novel and recent trends of decision support system for medical research; Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.