Artificial Intelligence and Machine Learning for Digital Pathology: State-of-the-Art and Future Challenges - Couverture souple

 
9783030504014: Artificial Intelligence and Machine Learning for Digital Pathology: State-of-the-Art and Future Challenges
Couverture souple
ISBN 10 : 3030504018 ISBN 13 : 9783030504014
Editeur : Springer, 2020

Synopsis

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.


Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2020
Langue
anglais
ISBN 10 
3030504018
ISBN 13 
9783030504014
Reliure
Broché
Nombre de pages
356
Éditeur
Holzinger Andreas, Goebel Randy, Mengel Michael, Müller Heimo
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Allemagne