A 3-dimensional histology computer model of malignant melanoma and its implications for digital pathology
Historically, cancer diagnoses have been made by pathologists using two-dimensional histological slides. However, with the advent of digital pathology and artificial intelligence, slides are being digitised, providing new opportunities to integrate their information. Since nature is 3-dimensional (3...
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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
November 2023
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| In: |
European journal of cancer
Year: 2023, Volume: 193, Pages: 1-7 |
| ISSN: | 1879-0852 |
| DOI: | 10.1016/j.ejca.2023.113294 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.ejca.2023.113294 Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S0959804923003969 
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| Author Notes: | Alexander Kurz, Dieter Krahl, Heinz Kutzner, Raymond Barnhill, Antonio Perasole, Maria Teresa Fernandez Figueras, Gerardo Ferrara, Stephan A. Braun, Hans Starz, Mar Llamas-Velasco, Jochen Sven Utikal, Stefan Fröhling, Christof von Kalle, Jakob Nikolas Kather, Lucas Schneider, Titus J. Brinker |
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| 520 | |a Historically, cancer diagnoses have been made by pathologists using two-dimensional histological slides. However, with the advent of digital pathology and artificial intelligence, slides are being digitised, providing new opportunities to integrate their information. Since nature is 3-dimensional (3D), it seems intuitive to digitally reassemble the 3D structure for diagnosis. Objective: To develop the first human-3D-melanoma-histology-model with full data and code availability. Further, to evaluate the 3D-simulation together with experienced pathologists in the field and discuss the implications of digital 3D-models for the future of digital pathology. | ||
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