Artificial Intelligence And Machine Learning For Digital Pathology
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Artificial Intelligence And Machine Learning For Digital Pathology
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Author : Andreas Holzinger
language : en
Publisher: Springer Nature
Release Date : 2020-06-24
Artificial Intelligence And Machine Learning For Digital Pathology written by Andreas Holzinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-24 with Computers categories.
Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ‘‘fit-for-purpose’’ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.
Artificial Intelligence And Deep Learning In Pathology
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Author : Stanley Cohen
language : en
Publisher: Elsevier Health Sciences
Release Date : 2020-06-02
Artificial Intelligence And Deep Learning In Pathology written by Stanley Cohen and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-02 with Medical categories.
Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.
Artificial Intelligence Applications In Human Pathology
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Author : Ralf Huss
language : en
Publisher: World Scientific
Release Date : 2022-03-04
Artificial Intelligence Applications In Human Pathology written by Ralf Huss and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-04 with Science categories.
Artificial Intelligence Applications in Human Pathology deals with the latest topics in biomedical research and clinical cancer diagnostics. With chapters provided by true international experts in the field, this book gives real examples of the implementation of AI and machine learning in human pathology.Advances in machine learning and AI in general have propelled computational and general pathology research. Today, computer systems approach the diagnostic levels achieved by humans for certain well-defined tasks in pathology. At the same time, pathologists are faced with an increased workload both quantitatively (numbers of cases) and qualitatively (the amount of work per case, with increasing treatment options and the type of data delivered by pathologists also expected to become more fine-grained). AI will support and leverage mathematical tools and implement data-driven methods as a center for data interpretation in modern tissue diagnosis and pathology. Digital or computational pathology will also foster the training of future computational pathologists, those with both pathology and non-pathology backgrounds, who will eventually decide that AI-based pathology will serve as an indispensable hub for data-related research in a global health care system.Some of the specific topics explored within include an introduction to DL as applied to Pathology, Standardized Tissue Sampling for Automated Analysis, integrating Computational Pathology into Histopathology workflows. Readers will also find examples of specific techniques applied to specific diseases that will aid their research and treatments including but not limited to; Tissue Cartography for Colorectal Cancer, Ki-67 Measurements in Breast Cancer, and Light-Sheet Microscopy as applied to Virtual Histology.The key role for pathologists in tissue diagnostics will prevail and even expand through interdisciplinary work and the intuitive use of an advanced and interoperating (AI-supported) pathology workflow delivering novel and complex features that will serve the understanding of individual diseases and of course the patient.
Digital Pathology
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Author : Liron Pantanowitz
language : en
Publisher:
Release Date : 2017
Digital Pathology written by Liron Pantanowitz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Medical informatics categories.
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.
Artificial Intelligence In Digital Pathology Image Analysis
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Author : Min Tang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-05-03
Artificial Intelligence In Digital Pathology Image Analysis written by Min Tang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-03 with Medical categories.
Artificial Intelligence In Pathology
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Author : Stanley Cohen
language : en
Publisher: Elsevier
Release Date : 2024-06-01
Artificial Intelligence In Pathology written by Stanley Cohen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-01 with Science categories.
Artificial Intelligence in Pathology: Principles and Applications provides a strong foundation of core artificial intelligence principles and their applications in the field of digital pathology. This is a reference of current and emerging use of AI in digital pathology as well as the emerging utility of quantum artificial intelligence and neuromorphic computing in digital pathology. It is a must-have educational resource for lay public, researchers, academicians, practitioners, policymakers, key administrators, and vendors to stay current with the shifting landscapes within the emerging field of digital pathology. It is also of use to workers in other diagnostic imaging areas such as radiology. This resource covers various aspects of the use of AI in pathology, including but not limited to the basic principles, advanced applications, challenges in the development, deployment, adoption, and scalability of AI-based models in pathology, the innumerous benefits of applying and integrating AI in the practice of pathology, ethical considerations for the safe adoption and deployment of AI in pathology. Discusses the evolution of machine learning in the field to provide a foundational background Addresses challenges in the development, deployment and regulation of AI in anatomic pathology Includes information on generative deep learning in digital pathology workflows Provides current tools and future perspectives
Artificial Intelligence For Disease Diagnosis And Prognosis In Smart Healthcare
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Author : Ghita Kouadri Mostefaoui
language : en
Publisher: CRC Press
Release Date : 2023-03-30
Artificial Intelligence For Disease Diagnosis And Prognosis In Smart Healthcare written by Ghita Kouadri Mostefaoui and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-30 with Computers categories.
Features In-depth coverage of the role of AI in smart healthcare. Research guideline for AI and data science researchers/practitioners interested in the healthcare sector. Comprehensive coverage on security and privacy issues for AI in smart healthcare.
Digital Pathology
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Author : Meera Hameed
language : en
Publisher: Elsevier
Release Date : 2024-10-01
Digital Pathology written by Meera Hameed and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-01 with Science categories.
Digital Pathology: Implementation in Clinical Practice with AI Applications covers digital pathology applications in a clinical pathology laboratory setting, providing guidance and various tools for practical implementation. This comprehensive and detailed description of nuts and bolts of digital pathology implementation is unique and comes from the experience of high throughput scanning from a large surgical pathology laboratory. This is a valuable reference to prepare the end users not only about thoughtful launch of digital pathology but also to prepare for the future use of AI mediated decision support tools as the field advances. This book covers the entire range of this topic and can be used as a practical reference for individuals that wish to be part of the evolution of diagnostic pathology. Sections include pre-analytic, analytic, and post-analytic processes, encompassing hardware, software, space, staffing, quality control, laboratory information system applications, clinical validation, use cases and future applications, including computer assisted diagnosis and decision support tools. Provides detailed aspects of the implementation of digital pathology in the clinical laboratory, including machine learning/artificial intelligence tools Presents examples of how digital imaging and AI are drivers in research and development in radiology, with parallels to situations in pathology Includes best practices and guidelines that can be practically applied by pathologists and data scientists
Digital Pathology
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Author : Constantino Carlos Reyes-Aldasoro
language : en
Publisher: Springer
Release Date : 2019-07-03
Digital Pathology written by Constantino Carlos Reyes-Aldasoro and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-03 with Computers categories.
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.
Concepts Of Artificial Intelligence And Its Application In Modern Healthcare Systems
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Author : Deepshikha Agarwal
language : en
Publisher: CRC Press
Release Date : 2023-07-31
Concepts Of Artificial Intelligence And Its Application In Modern Healthcare Systems written by Deepshikha Agarwal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Computers categories.
This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.