Machine learning for tissue diagnostics in oncology: brave new world
Machine learning is an exciting technology with broad application in big data analysis, as well as increasingly in specialised healthcare. As a diagnostic tool in tissue workup and pathology, it has the potential for personalised and stratified approaches, but the limitations and pitfalls need to be...
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| Main Author: | |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
09 August 2019
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| In: |
British journal of cancer
Year: 2019, Volume: 121, Issue: 6, Pages: 431-433 |
| ISSN: | 1532-1827 |
| DOI: | 10.1038/s41416-019-0535-1 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1038/s41416-019-0535-1 Verlag: https://www.nature.com/articles/s41416-019-0535-1 
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| Author Notes: | Niels Halama |
| Summary: | Machine learning is an exciting technology with broad application in big data analysis, as well as increasingly in specialised healthcare. As a diagnostic tool in tissue workup and pathology, it has the potential for personalised and stratified approaches, but the limitations and pitfalls need to be better understood and characterised especially in this critical area of medical care. |
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| Item Description: | Gesehen am 07.10.2019 |
| Physical Description: | Online Resource |
| ISSN: | 1532-1827 |
| DOI: | 10.1038/s41416-019-0535-1 |