Artificial Intelligence and Machine Learning for Digital Pathology
State-of-the-Art and Future Challenges
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…
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Produktdetails
Weitere Autoren: Goebel, Randy (Hrsg.) / Mengel, Michael (Hrsg.) / Müller, Heimo (Hrsg.)
- ISBN: 978-3-030-50402-1
- EAN: 9783030504021
- Produktnummer: 34313329
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 341 S.
- Plattform: PDF
- Masse: 51'143 KB
- Auflage: 1st ed. 2020
- Abbildungen: 11 schwarz-weiße und 84 farbige Abbildungen, Bibliographie
- Reihenbandnummer: 12090
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