.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);}}Bitte aktivieren Sie Javascript um alle Funktionen nutzen zu können und ihre Nutzererfahrung zu verbessern.

Eposter presentation
PP02.01

Comparison of two deep learning models to predict 3D dose distribution in radiation therapy of patients with left breast cancer

Termin

Datum: 12.09.2024

Zeit: 14:00 – 14:04

Redezeit: 3 Min.

Diskussionszeit: 1 Min.

Ort / Stream:

Poster

Comparison of two deep learning models to predict 3D dose distribution in radiation therapy of patients with left breast cancer

Session

Artificial intelligence II

Themen

Artificial intelligence
Clinical radiotherapy

Mitwirkende

Dr. Mohammad Ehsan Ravari (Semnan / IR), Dr. Marziyeh Behmadi (Semnan / IR), Dr. Shahrokh Nasseri (Mashhad / IR), Dr. Mehdi Momennezhad (Mashhad / IR)