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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 verif...

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Corporate Author: SpringerLink (Online service)
Other Authors: Holzinger, Andreas. (Editor, http://id.loc.gov/vocabulary/relators/edt), Goebel, Randy. (Editor, http://id.loc.gov/vocabulary/relators/edt), Mengel, Michael. (Editor, http://id.loc.gov/vocabulary/relators/edt), Müller, Heimo. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Lecture Notes in Artificial Intelligence ; 12090
Subjects:
Artificial intelligence.
Computers.
Database management.
Application software.
Computer security.
Optical data processing.
Artificial Intelligence.
Computing Milieux.
Database Management.
Computer Applications.
Systems and Data Security.
Image Processing and Computer Vision.
Online Access:https://doi.org/10.1007/978-3-030-50402-1

Internet

https://doi.org/10.1007/978-3-030-50402-1

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