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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Detaylı Bibliyografya
Yayımlandı:J Med Imaging (Bellingham)
Asıl Yazarlar: El Khoury, Karim, Fockedey, Martin, Brion, Eliott, Macq, Benoît
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Society of Photo-Optical Instrumentation Engineers 2021
Konular:
Special Series on 2D and 3D Imaging: Perspectives in Human and Model Observer Performance
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC8020060/
https://ncbi.nlm.nih.gov/pubmed/33842669
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.4.041207
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