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Connection

Frederick Howard to Neoplasms

This is a "connection" page, showing publications Frederick Howard has written about Neoplasms.
Connection Strength

0.620
  1. Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features. Sci Adv. 2024 Nov 15; 10(46):eadq0856.
    View in: PubMed
    Score: 0.334
  2. The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Nat Commun. 2021 07 20; 12(1):4423.
    View in: PubMed
    Score: 0.265
  3. Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning. EBioMedicine. 2024 Sep; 107:105276.
    View in: PubMed
    Score: 0.021
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.