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Connection

Alexander Pearson to Machine Learning

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

0.710
  1. Applications of Deep Learning in Endocrine Neoplasms. Surg Pathol Clin. 2023 Mar; 16(1):167-176.
    View in: PubMed
    Score: 0.192
  2. Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer. JAMA Netw Open. 2020 11 02; 3(11):e2025881.
    View in: PubMed
    Score: 0.166
  3. Machine learning can identify newly diagnosed patients with CLL at high risk of infection. Nat Commun. 2020 01 17; 11(1):363.
    View in: PubMed
    Score: 0.157
  4. The use of deep learning state-of-the-art architectures for oral epithelial dysplasia grading: A comparative appraisal. J Oral Pathol Med. 2023 Nov; 52(10):980-987.
    View in: PubMed
    Score: 0.050
  5. Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysis. Oral Oncol. 2023 05; 140:106386.
    View in: PubMed
    Score: 0.049
  6. Machine learning for detection and classification of oral potentially malignant disorders: A conceptual review. J Oral Pathol Med. 2023 Mar; 52(3):197-205.
    View in: PubMed
    Score: 0.049
  7. Machine learning concepts applied to oral pathology and oral medicine: A convolutional neural networks' approach. J Oral Pathol Med. 2023 Feb; 52(2):109-118.
    View in: PubMed
    Score: 0.048
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.