Developing ultrasound-based machine learning models for accurate differentiation between sclerosing adenosis and invasive ductal carcinoma.
Liu G, Yang N, Qu Y, Chen G, Wen G, Li G, Deng L, Mai Y
Liu G, Yang N, Qu Y, Chen G, Wen G, Li G, Deng L, Mai Y
Gomez-Mahiques, M., Lopez-Mateu, C., Gil-Terron, F. J., Montosa-i-Mico, V., Svensson, S. F., Mendoza Mireles, E. E., Vik-Mo, E. O., Emblem, K., Balana, C., Puig, J., Garcia-Gomez, J. M., Fuster-Garcia, E.
Weld A, Dixon L, Dyck M, Anichini G, Ranne A, Camp S, Giannarou S
Zedda L, Loddo A, Di Ruberto C
Roll W, Plagwitz L, Ventura D, Masthoff M, Backhaus C, Varghese J, Rahbar K, Schindler P
Sial HA, Carandell F, Ajanovic S, Jiménez J, Quesada R, Santos F, Buck WC, Sidat M, Bassat Q, Jobst B, Petrone P
Lee H, Shi W, Mukaddim RA, Brunelle E, Palisetti A, Imaduddin SM, Rajendram P, Incontri D, Lioutas VA, Heldt T, Raju BI
Tucciariello RM, Botte M, Calice G, Cammarota A, Cammarota F, Capasso M, Nardo GD, Lancellotti MI, Palmese VP, Sarno A, Villonio A, Bianculli A
Mercaldo, S. F., Bizzo, B. C., Sadore, T., Halle, M. A., MacDonald, A. L., Newbury-Chaet, I., L'Italien, E., Schultz, A. S., Tam, V., Hegde, S. M., Mangion, J. R., Mehrotra, P., Zhao, Q., Wu, J., Hillis, J.
Dharmavaram, N., Ramirez, G., Shanbhag, A., Miller, R. J. H., Kavanagh, P., Yi, J., Lemley, M., Builoff, V., Marcinkiewicz, A. M., Dey, D., Hainer, J., Wopperer, S., Knight, S., Le, V. T., Mason, S., Alexanderson, E., Carvajal-Juarez, I., Packard, R. R. S., Rosamond, T. L., Al-Mallah, M. H., Slipczuk, L., Travin, M., Acampa, W., Einstein, A., Chareonthaitawee, P., Berman, D., Di Carli, M., Slomka, P.
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