Crimì, F.; D’Alessandro, C.; Zanon, C.; Celotto, F.; Salvatore, C.; Interlenghi, M.; Castiglioni, I.; Quaia, E.; Pucciarelli, S.; Spolverato, G.
A Machine Learning Model Based on MRI Radiomics to Predict Response to Chemoradiation Among Patients with Rectal Cancer. Life 2024, 14, 1530.
https://doi.org/10.3390/life14121530
AMA Style
Crimì F, D’Alessandro C, Zanon C, Celotto F, Salvatore C, Interlenghi M, Castiglioni I, Quaia E, Pucciarelli S, Spolverato G.
A Machine Learning Model Based on MRI Radiomics to Predict Response to Chemoradiation Among Patients with Rectal Cancer. Life. 2024; 14(12):1530.
https://doi.org/10.3390/life14121530
Chicago/Turabian Style
Crimì, Filippo, Carlo D’Alessandro, Chiara Zanon, Francesco Celotto, Christian Salvatore, Matteo Interlenghi, Isabella Castiglioni, Emilio Quaia, Salvatore Pucciarelli, and Gaya Spolverato.
2024. "A Machine Learning Model Based on MRI Radiomics to Predict Response to Chemoradiation Among Patients with Rectal Cancer" Life 14, no. 12: 1530.
https://doi.org/10.3390/life14121530
APA Style
Crimì, F., D’Alessandro, C., Zanon, C., Celotto, F., Salvatore, C., Interlenghi, M., Castiglioni, I., Quaia, E., Pucciarelli, S., & Spolverato, G.
(2024). A Machine Learning Model Based on MRI Radiomics to Predict Response to Chemoradiation Among Patients with Rectal Cancer. Life, 14(12), 1530.
https://doi.org/10.3390/life14121530
