.css-1xsl8rf{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;position:relative;overflow:hidden;background:var(--alert-bg);-webkit-padding-start:var(--chakra-space-4);padding-inline-start:var(--chakra-space-4);-webkit-padding-end:var(--chakra-space-4);padding-inline-end:var(--chakra-space-4);padding-top:var(--chakra-space-1);padding-bottom:var(--chakra-space-1);--alert-fg:var(--chakra-colors-orange-600);--alert-bg:var(--chakra-colors-orange-100);font-weight:var(--chakra-fontWeights-semibold);padding-left:var(--chakra-space-4);}.chakra-ui-dark .css-1xsl8rf:not([data-theme]),[data-theme=dark] .css-1xsl8rf:not([data-theme]),.css-1xsl8rf[data-theme=dark]{--alert-fg:var(--chakra-colors-orange-200);--alert-bg:rgba(251, 211, 141, 0.16);}@media screen and (min-width: 48em){.css-1xsl8rf{padding-left:var(--chakra-space-8);}}Please enable Javascript to use all features and improve your user experience.

Poster

PP30.03
Eposter presentation

Radiomic-based classification and feature evaluation in digital breast tomosynthesis using TabNet deep learning package

Presented in

Artificial intelligence IV

Poster topics

Artificial intelligence

Diagnostic and interventional radiology

Authors

Professor Giovanni Mettivier (Naples / IT), Dr. Clemente Nocera (Naples / IT), Dr. Roberta Ricciardi (Naples / IT), Dr. Gianfranco Paternò (Ferrara / IT), Antonio Zarrillo (Naples / IT), Dr. Landoni Valeria (Rome / IT), Pedro Ordonez (Rome / IT), Salvatore Minelli (Naples / IT), Elena Antignani (Naples / IT), Professor Paolo Russo (Naples / IT)