A latent Markov model separates density-driven masking from latent breast-cancer risk, but the reported masking-induced risk increase is a sensitivity consequence, not an empirical estimate.
Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques
1 Pith paper cite this work, alongside 351 external citations. Polarity classification is still indexing.
1
Pith paper citing it
351
external citations · OpenAlex
fields
stat.ME 1years
2026 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework
A latent Markov model separates density-driven masking from latent breast-cancer risk, but the reported masking-induced risk increase is a sensitivity consequence, not an empirical estimate.