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Artificial Intelligence Applications In Human Pathology (Hardcover)
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Artificial Intelligence Applications In Human Pathology (Hardcover)
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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.
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