Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images

Image guidance systems that register scans of the prostate obtained using transrectal ultrasound (TRUS) and magnetic resonance imaging are becoming increasingly popular as a means of enabling tumor-targeted prostate cancer biopsy and treatment. However, intraoperative segmentation of TRUS images to...

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Detalles Bibliográficos
Autores principales: Ghavami, Nooshin, Hu, Yipeng, Bonmati, Ester, Rodell, Rachael, Gibson, Eli, Moore, Caroline, Barratt, Dean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2018
Materias:
Special Section on Artificial Intelligence in Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102407/
https://www.ncbi.nlm.nih.gov/pubmed/30840715
http://dx.doi.org/10.1117/1.JMI.6.1.011003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102407/
https://www.ncbi.nlm.nih.gov/pubmed/30840715
http://dx.doi.org/10.1117/1.JMI.6.1.011003

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