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Artificial Intelligence and Machine Learning for Digital Pathology: State-of-the-Art and Future Challenges - Lecture Notes in Computer Science Andreas Holzinger 2020 edition
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Artificial Intelligence and Machine Learning for Digital Pathology: State-of-the-Art and Future Challenges - Lecture Notes in Computer Science
Andreas Holzinger
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.
341 pages, 84 Illustrations, color; 11 Illustrations, black and white; XII, 341 p. 95 illus., 84 ill
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 21 juin 2020 |
| ISBN13 | 9783030504014 |
| Éditeurs | Springer Nature Switzerland AG |
| Pages | 341 |
| Dimensions | 233 × 154 × 28 mm · 552 g |
| Langue et grammaire | Allemand |
| Éditeur | Goebel, Randy |
| Éditeur | Holzinger, Andreas |
| Éditeur | Mengel, Michael |
| Éditeur | Muller, Heimo |
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