Automatic Segmentation with Deep Learning in Radiotherapy

Automatic Segmentation with Deep Learning in Radiotherapy

This review provides a formal overview of current automatic segmentation studies that use deep learning in radiotherapy. It covers 807 published papers and includes multiple cancer sites, image types (CT/MRI/PET), and segmentation methods. We collect key statistics about the papers to uncover common...

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Bibliographic Details
Main Authors: Lars Johannes Isaksson, Paul Summers, Federico Mastroleo, Giulia Marvaso, Giulia Corrao, Maria Giulia Vincini, Mattia Zaffaroni, Francesco Ceci, Giuseppe Petralia, Roberto Orecchia, Barbara Alicja Jereczek-Fossa
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Cancers
Subjects:
radiotherapy
segmentation
automatic
deep learning
artificial intelligence
artificial neural networks
Online Access:https://www.mdpi.com/2072-6694/15/17/4389

Internet

https://www.mdpi.com/2072-6694/15/17/4389

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