Cite
Machine learning streamlines the morphometric characterization and multi-class segmentation of nuclei in different follicular thyroid lesions: everything in a NUTSHELL
MLA
L’Imperio, V., et al. Machine Learning Streamlines the Morphometric Characterization and Multi-Class Segmentation of Nuclei in Different Follicular Thyroid Lesions: Everything in a NUTSHELL. 2024. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1456740614&authtype=sso&custid=ns315887.
APA
L’Imperio, V., Coelho, V., Cazzaniga, G., Papetti, D., Del Carro, F., Capitoli, G., Marino, M., Ceku, J., Fusco, N., Ivanova, M., Gianatti, A., Nobile, M., Galimberti, S., Besozzi, D., Pagni, F., L’Imperio, V., Coelho, V., Cazzaniga, G., Papetti, D. M., … Pagni, F. (2024). Machine learning streamlines the morphometric characterization and multi-class segmentation of nuclei in different follicular thyroid lesions: everything in a NUTSHELL.
Chicago
L’Imperio, V, V Coelho, G Cazzaniga, D Papetti, F Del Carro, G Capitoli, M Marino, et al. 2024. “Machine Learning Streamlines the Morphometric Characterization and Multi-Class Segmentation of Nuclei in Different Follicular Thyroid Lesions: Everything in a NUTSHELL.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1456740614&authtype=sso&custid=ns315887.