Radiomics based likelihood functions for cancer diagnosis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-45053-x.pdf
Reference38 articles.
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3. Thompson, B. A. et al. A multifactorial likelihood model for mmr gene variant classification incorporating probabilities based on sequence bioinformatics and tumor characteristics: A report from the colon cancer family registry. Human Mutation 34, 200–209, https://doi.org/10.1002/humu.22213 (2013).
4. Beane, J. et al. A prediction model for lung cancer diagnosis that integrates genomic and clinical features. Cancer Prevention Research 1, 56–64, https://doi.org/10.1158/1940-6207.CAPR-08-0011 (2008).
5. Philippe, L. et al. Radiomics: the bridge between medical imaging and personalized medicine. Nature Reviews Clinical Oncology 14 (2017).
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