Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration

Convolutional neural networks (CNNs) have recently led to significant advances in automatic segmentations of anatomical structures in medical images, and a wide variety of network architectures are now available to the research community. For applications such as segmentation of the prostate in magn...

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Detalles Bibliográficos
Autores principales: Ghavami, Nooshin, Hu, Yipeng, Gibson, Eli, Bonmati, Ester, Emberton, Mark, Moore, Caroline M., Barratt, Dean C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985677/
https://www.ncbi.nlm.nih.gov/pubmed/31526965
http://dx.doi.org/10.1016/j.media.2019.101558

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985677/
https://www.ncbi.nlm.nih.gov/pubmed/31526965
http://dx.doi.org/10.1016/j.media.2019.101558

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