Artificial Intelligence and Machine Learning for Digital Pathology
Broschiertes Buch

Artificial Intelligence and Machine Learning for Digital Pathology

State-of-the-Art and Future Challenges

Herausgegeben: Holzinger, Andreas; Goebel, Randy; Mengel, Michael; Müller, Heimo
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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 org...