Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data

We present an approach for fully automatic urinary bladder segmentation in CT images with artificial neural networks in this study. Automatic medical image analysis has become an invaluable tool in the different treatment stages of diseases. Especially medical image segmentation plays a vital role,...

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Detalles Bibliográficos
Autores principales: Gsaxner, Christina, Roth, Peter M., Wallner, Jürgen, Egger, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400332/
https://www.ncbi.nlm.nih.gov/pubmed/30835746
http://dx.doi.org/10.1371/journal.pone.0212550

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400332/
https://www.ncbi.nlm.nih.gov/pubmed/30835746
http://dx.doi.org/10.1371/journal.pone.0212550

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