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 i...
שמור ב:
| מחברים אחרים: | , |
|---|---|
| פורמט: | אלקטרוני ספר אלקטרוני |
| שפה: | אנגלית |
| יצא לאור: |
Amsterdam, Netherlands :
Elsevier,
[2025]
|
| מהדורה: | 2nd edition. |
| נושאים: | |
| גישה מקוונת: | ScienceDirect |
| תגים: |
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MARC
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| 050 | 4 | |a RD38 |b .A78 2025 | |
| 082 | 0 | 4 | |a 616.07 |2 23/eng/20241218 |1 https://id.oclc.org/worldcat/ddc/E3mW6hhkdJ9VjKpgMFmMm8BJqy |
| 245 | 0 | 0 | |a Artificial intelligence in pathology : |b principles and applications / |c edited by Chhavi Chauhan, Stanley Cohen. |
| 250 | |a 2nd edition. | ||
| 264 | 1 | |a Amsterdam, Netherlands : |b Elsevier, |c [2025] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a The evolution of machine learning: past, present, and future / Stanley Cohen -- The basics of machine learning: strategies and techniques / Stanley Cohen -- Overview of advanced neural network architectures / Benjamin R. Mitchell -- Complexity in the use of artificial intelligence in anatomic pathology / Stanley Cohen -- Dealing with data: strategies of preprocessing data / Stanley Cohen -- Artificial intelligence in pathology: aasing the burden of annotation / Benjamin R. Mitchell, Marion C. Cohen, Stanley Cohen -- Digital pathology as a platform for primary diagnosis and augmentation via deep learning / Anil V. Parwani, Zaibo Li -- Artificial intelligence model development, deployment, and regulatory challenges in anatomic pathology / Jerome Y. Cheng, Jacob T. Abel, David S. McClintock -- Ethics of AI in pathology: Current paradigms and emerging issues / Chhavi Chauhan, Rama R. Gullapalli -- Applications of artificial intelligence for image enhancement in pathology / Tanishq Abraham, Austin Todd, Richard Levenson -- Foundation models and information retrieval in digital pathology / H.R. Tizhoosh -- Precision medicine in digital pathology via image analysis and machine learning / Peter D. Caie, Neofytos Dimitriou, Ognjen Arandjelovic -- Generative deep learning in digital path / David Morrison, David Harris-Birtill and Peter D. Caie -- Artificial intelligence methods for predictive image-based grading of human cancers / Gerardo Fernandez, Abishek Sainath Madduri, Michael Donovan -- Artificial intelligence and the interplay between cancer and immunity / Rajarsi Gupta, Tahsin Kurc, Joel Haskin Saltz -- Overview of the role of artificial intelligence in pathology: the computer as a pathology digital assistant / John E. Tomaszewski -- Overview and coda: the future of AI / Benjamin R. Mitchell, Stanley Cohen. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Trusted Intermediary contact: t.narup@elsevier.com | |
| 532 | 8 | |a Publisher contact for further accessibility information: t.narup@elsevier.com | |
| 650 | 0 | |a Pathology |x Data processing. | |
| 650 | 0 | |a Artificial intelligence |x Medical applications. | |
| 650 | 6 | |a Pathologie |0 (CaQQLa)201-0003701 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 7 | |a Artificial intelligence |x Medical applications |2 fast |0 (OCoLC)fst00817267 | |
| 650 | 7 | |a Pathology |x Data processing |2 fast |0 (OCoLC)fst01054965 | |
| 700 | 1 | |a Chauhan, Chhavi, |e editor. | |
| 700 | 1 | |a Cohen, Stanley, |d 1937- |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjqKVKWGKgHM9HpBxb98fm | |
| 776 | 0 | 8 | |c Original |z 032395359X |z 9780323953597 |w (OCoLC)1355437995 |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780323953597 |