Artificial intelligence applications in human pathology (Record no. 97735)
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| fixed length control field | 04601cam a22004818a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 000q0336 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240731095200.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210814s2022 si ob 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781800611399 |
| -- | (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1800611390 |
| -- | (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (hbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (hbk.) |
| 082 00 - CLASSIFICATION NUMBER | |
| Call Number | 616.07/5 |
| 245 00 - TITLE STATEMENT | |
| Title | Artificial intelligence applications in human pathology |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Singapore : |
| Publisher | World Scientific, |
| Year of publication | [2022] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (336 p.). |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Foreword -- About the editors -- Introduction: integration of computational pathology and AI application into histopathology workflow -- Standardized tissue sampling for automated analysis and global trial success -- Light-sheet microscopy as a novel tool for virtual histology -- Stain quality management and biomarker analysis -- Measuring Ki-67 in breast cancer: past, present, and future -- Multiplex: from acquisition to analysis -- An introduction to deep learning in pathology -- AI-driven precision pathology: challenges and innovations in tissue biomarker analysis for diagnosis -- Tissue cartography for colorectal cancer -- Graph representation learning and explainability in breast cancer pathology: bridging the gap between AI and pathology practice -- AI-driven design of disease sensors: theoretical foundations -- Index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "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"-- |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Medical applications. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Technological innovations. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Huss, Ralf. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Grunkin, Michael. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.worldscientific.com/worldscibooks/10.1142/q0336#t=toc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Diagnosis, Laboratory |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Pathology |
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