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Machine learning classifies cancer

Author

Listed:
  • Derek Wong
  • Stephen Yip

Abstract

Brain tumours are often classified by visual assessment of tumour cells, yet such diagnoses can vary depending on the observer. Machine-learning methods to spot molecular patterns could improve cancer diagnosis.

Suggested Citation

  • Derek Wong & Stephen Yip, 2018. "Machine learning classifies cancer," Nature, Nature, vol. 555(7697), pages 446-447, March.
    • Handle: RePEc:nat:nature:v:555:y:2018:i:7697:d:10.1038_d41586-018-02881-7
    DOI: 10.1038/d41586-018-02881-7
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    Citations

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    Cited by:

    1. Bangfeng Wang & Yiwei Li & Mengfan Zhou & Yulong Han & Mingyu Zhang & Zhaolong Gao & Zetai Liu & Peng Chen & Wei Du & Xingcai Zhang & Xiaojun Feng & Bi-Feng Liu, 2023. "Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    2. Claus Zippel & Sabine Bohnet-Joschko, 2021. "Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov," IJERPH, MDPI, vol. 18(10), pages 1-14, May.
    3. Cemal Erdem & Arnab Mutsuddy & Ethan M. Bensman & William B. Dodd & Michael M. Saint-Antoine & Mehdi Bouhaddou & Robert C. Blake & Sean M. Gross & Laura M. Heiser & F. Alex Feltus & Marc R. Birtwistle, 2022. "A scalable, open-source implementation of a large-scale mechanistic model for single cell proliferation and death signaling," Nature Communications, Nature, vol. 13(1), pages 1-18, December.

    More about this item

    Keywords

    Cancer; Personalized medicine;

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