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Connection

Alexander Pearson to Microsatellite Instability

This is a "connection" page, showing publications Alexander Pearson has written about Microsatellite Instability.
Connection Strength

0.751
  1. Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study. Lancet Digit Health. 2021 10; 3(10):e654-e664.
    View in: PubMed
    Score: 0.200
  2. Deep learning detects genetic alterations in cancer histology generated by adversarial networks. J Pathol. 2021 05; 254(1):70-79.
    View in: PubMed
    Score: 0.195
  3. Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning. Gastroenterology. 2020 10; 159(4):1406-1416.e11.
    View in: PubMed
    Score: 0.185
  4. Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer. Nat Med. 2019 07; 25(7):1054-1056.
    View in: PubMed
    Score: 0.172
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.