Improved 3D U-Net robustness against JPEG 2000 compression for male pelvic organ segmentation in radiotherapy

Purpose: Automation of organ segmentation, via convolutional neural networks (CNNs), is key to facilitate the work of medical practitioners by ensuring that the adequate radiation dose is delivered to the target area while avoiding harmful exposure of healthy organs. The issue with CNNs is that they...

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Detalles Bibliográficos
Autores principales: El Khoury, Karim, Fockedey, Martin, Brion, Eliott, Macq, Benoît
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Special Series on 2D and 3D Imaging: Perspectives in Human and Model Observer Performance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020060/
https://www.ncbi.nlm.nih.gov/pubmed/33842669
http://dx.doi.org/10.1117/1.JMI.8.4.041207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020060/
https://www.ncbi.nlm.nih.gov/pubmed/33842669
http://dx.doi.org/10.1117/1.JMI.8.4.041207

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