Artificial Intelligence and Machine Learning for Digital Pathology: State-Of-The-Art and Future Challenges 2020 Edition Contributor(s): Holzinger, Andreas (Editor), Goebel, Randy (Editor), Mengel, Michael (Editor) |
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ISBN: 3030504018 ISBN-13: 9783030504014 Publisher: Springer OUR PRICE: $94.99 Product Type: Paperback Published: July 2020 |
Additional Information |
BISAC Categories: - Computers | Human-computer Interaction (hci) - Computers | Databases - General - Computers | Data Processing |
Physical Information: 0.6" H x 7.7" W x 9.1" (1.10 lbs) 341 pages |
Descriptions, Reviews, Etc. |
Publisher 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. |