Article Versions Notes

Daimiel Naranjo I, Gibbs P, Reiner JS, Lo Gullo R, Thakur SB, Jochelson MS, Thakur N, Baltzer PAT, Helbich TH, Pinker K. Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists’ Performance. Cancers. 2022; 14(7):1743. https://doi.org/10.3390/cancers14071743

Daimiel Naranjo, Isaac, Peter Gibbs, Jeffrey S. Reiner, Roberto Lo Gullo, Sunitha B. Thakur, Maxine S. Jochelson, Nikita Thakur, Pascal A. T. Baltzer, Thomas H. Helbich, and Katja Pinker. 2022. "Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists’ Performance" Cancers 14, no. 7: 1743. https://doi.org/10.3390/cancers14071743

Daimiel Naranjo, I., Gibbs, P., Reiner, J. S., Lo Gullo, R., Thakur, S. B., Jochelson, M. S., Thakur, N., Baltzer, P. A. T., Helbich, T. H., & Pinker, K. (2022). Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists’ Performance. Cancers, 14(7), 1743. https://doi.org/10.3390/cancers14071743