Deep Learning Networks for Automatic Retroperitoneal Sarcoma Segmentation in Computerized Tomography

Giuseppe Salvaggio

Giuseppe Cutaia

Antonio Greco

Mario Pace

Leonardo Salvaggio

Federica Vernuccio

Roberto Cannella

Laura Algeri

Lorena Incorvaia

Alessandro Stefano

Massimo Galia

Giuseppe Badalamenti and Albert Comelli

Resumen

This study proposes fast and innovative deep learning networks for automatic retroperitoneal sarcoma segmentation in computerized tomography images.

Palabras claves

deep learning - soft tissue sarcoma - volume estimation - segmentation - artificial intelligence

Acceso

PÁGINAS

pp. 0 - 0

NÚMERO

Volumen: 12 Parte: 3 (2022)

MATERIAS

REVISTAS SIMILARES

DOI

https://doi.org/10.3390/app12031665

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