Détails de l’annonce
Titre: Artificial Intelligence and Machine Learning for Digital Pathology Condition: Neuf Sous titres: State-of-the-Art and Future Challenges Auteur: Andreas Holzinger Contributeur: Andreas Holzinger (Edited by), Heimo Müller (Edited by), Randy Goebel (Edited by), Michael Mengel (Edited by) Format: Poche EAN: 9783030504014 ISBN: 9783030504014 Edition: 1st ed. 2020 Publisher: Springer Nature Switzerland AG Genre: Computing & Internet Sujet: Medicine Année de publication: 2020 Date de publication: 2020-06-21 Description: 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.
Pays/Région de fabrication: CH Item Height: 235 Item Length: 155.00 Poids: 545g Série: Lecture Notes in Computer Science Sujet: Anglais Information manquante?
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