.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

PP02.15
Eposter presentation

A convolutional neural network approach for endometriosis related ovarian cancer detection

Presented in

Artificial intelligence II

Poster topics

Artificial intelligence

Diagnostic and interventional radiology

Authors

Dr. Christian Macis (Bologna / IT), Dr. Miriam Santoro (Bologna / IT), Dr. Camelia Alexandra Coada (Cluj-Napoca / RO), Dr. Vladislav Zybin (Bologna / IT), Dr. Giulia Dondi (Bologna / IT), Dr. Marco di Stanislao (Bologna / IT), Dr. Antonio de Leo (Bologna / IT), Dr. Stella di Costanzo (Bologna / IT), Dr. Gloria Ravegnini (Bologna / IT), Professor Dario de Biase (Bologna / IT), Professor Luigi Lovato (Bologna / IT), Professor Pierandrea de Iaco (Bologna / IT), Professor Anna Myriam Perrone (Bologna / IT), Professor Lidia Strigari (Bologna / IT)