Deep Learning Networks for Automatic Retroperitoneal Sarcoma Segmentation in Computerized Tomography

Deep Learning Networks for Automatic Retroperitoneal Sarcoma Segmentation in Computerized Tomography

The volume estimation of retroperitoneal sarcoma (RPS) is often difficult due to its huge dimensions and irregular shape; thus, it often requires manual segmentation, which is time-consuming and operator-dependent. This study aimed to evaluate two fully automated deep learning networks (ENet and ERF...

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Bibliographic Details
Main Authors: Giuseppe Salvaggio, Giuseppe Cutaia, Antonio Greco, Mario Pace, Leonardo Salvaggio, Federica Vernuccio, Roberto Cannella, Laura Algeri, Lorena Incorvaia, Alessandro Stefano, Massimo Galia, Giuseppe Badalamenti, Albert Comelli
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
deep learning
soft tissue sarcoma
volume estimation
segmentation
artificial intelligence
Online Access:https://www.mdpi.com/2076-3417/12/3/1665

Internet

https://www.mdpi.com/2076-3417/12/3/1665

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