Estimation of cellularity in tumours treated with Neoadjuvant therapy: A comparison of Machine Learning algorithms
M. A. Ortega-Ruiz, C. Karabag, C. C. Reyes-Aldasoro, V. Garcia Garduno
This paper compares machine learning algorithms for estimating residual tumour cellularity in breast cancer treated with neoadjuvant therapy, finding Support Vector Machines to be the most accurate.
bioRxiv · Apr 9, 2020 · PreprintPathology