B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä
Deep learning transforms colorectal cancer biomarker prediction from histopathology images
Tekijät: Ruusuvuori Pekka, Valkonen Mira, Latonen Leena
Kustantaja: Cell Press
Julkaisuvuosi: 2023
Lehti:Cancer Cell
Tietokannassa oleva lehden nimiCancer cell
Lehden akronyymi: Cancer Cell
Vuosikerta: 41
Numero: 9
Aloitussivu: 1543
Lopetussivu: 1545
ISSN: 1535-6108
eISSN: 1878-3686
DOI: https://doi.org/10.1016/j.ccell.2023.08.006
Verkko-osoite: https://doi.org/10.1016/j.ccell.2023.08.006
Tiivistelmä
Artificial intelligence (AI) is rapidly gaining interest in medicine, including pathological assessments for personalized medicine. In this issue of Cancer Cell, Wagner et al. demonstrate superior accuracy of transformer-based deep learning in predicting biomarker status in CRC. The work has implications for increased efficiency and accuracy in clinical diagnostics guiding treatment decisions in precision oncology.
Artificial intelligence (AI) is rapidly gaining interest in medicine, including pathological assessments for personalized medicine. In this issue of Cancer Cell, Wagner et al. demonstrate superior accuracy of transformer-based deep learning in predicting biomarker status in CRC. The work has implications for increased efficiency and accuracy in clinical diagnostics guiding treatment decisions in precision oncology.
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