Article Versions Notes

Martino F, Varricchio S, Russo D, Merolla F, Ilardi G, Mascolo M, dell’Aversana GO, Califano L, Toscano G, De Pietro G, et al. A Machine-learning Approach for the Assessment of the Proliferative Compartment of Solid Tumors on Hematoxylin-Eosin-Stained Sections. Cancers. 2020; 12(5):1344. https://doi.org/10.3390/cancers12051344

Martino, Francesco, Silvia Varricchio, Daniela Russo, Francesco Merolla, Gennaro Ilardi, Massimo Mascolo, Giovanni Orabona dell’Aversana, Luigi Califano, Guglielmo Toscano, Giuseppe De Pietro, and et al. 2020. "A Machine-learning Approach for the Assessment of the Proliferative Compartment of Solid Tumors on Hematoxylin-Eosin-Stained Sections" Cancers 12, no. 5: 1344. https://doi.org/10.3390/cancers12051344

Martino, F., Varricchio, S., Russo, D., Merolla, F., Ilardi, G., Mascolo, M., dell’Aversana, G. O., Califano, L., Toscano, G., De Pietro, G., Frucci, M., Brancati, N., Fraggetta, F., & Staibano, S. (2020). A Machine-learning Approach for the Assessment of the Proliferative Compartment of Solid Tumors on Hematoxylin-Eosin-Stained Sections. Cancers, 12(5), 1344. https://doi.org/10.3390/cancers12051344