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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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
09 August 2019
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| In: |
British journal of cancer
Year: 2019, Jahrgang: 121, Heft: 6, Pages: 431-433 |
| ISSN: | 1532-1827 |
| DOI: | 10.1038/s41416-019-0535-1 |
| Online-Zugang: | 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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| Verfasserangaben: | Niels Halama |
| Zusammenfassung: | 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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| Beschreibung: | Gesehen am 07.10.2019 |
| Beschreibung: | Online Resource |
| ISSN: | 1532-1827 |
| DOI: | 10.1038/s41416-019-0535-1 |