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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
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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | June 21, 2020 |
| ISBN13 | 9783030504014 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 341 |
| Dimensions | 233 × 154 × 28 mm · 552 g |
| Language | German |
| Editor | Goebel, Randy |
| Editor | Holzinger, Andreas |
| Editor | Mengel, Michael |
| Editor | Muller, Heimo |
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