BioinformaticsJournal of Artificial Intelligence for Medical SciencesPeer-reviewed
Mutational Analysis and Deep Learning Classification of Uterine and Cervical Cancers
The paper develops a deep learning tool to classify uterine and cervical cancers based on somatic mutations with 94.3% training and 89.2% test accuracy.
DOI 10.55578/joaims.221215.001