PSNet: prostate segmentation on MRI based on a convolutional neural network

Automatic segmentation of the prostate on magnetic resonance images (MRI) has many applications in prostate cancer diagnosis and therapy. We proposed a deep fully convolutional neural network (CNN) to segment the prostate automatically. Our deep CNN model is trained end-to-end in a single learning s...

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Detalles Bibliográficos
Publicado en:J Med Imaging (Bellingham)
Autores principales: Tian, Zhiqiang, Liu, Lizhi, Zhang, Zhenfeng, Fei, Baowei
Formato: Artigo
Lenguaje:Inglês
Publicado: Society of Photo-Optical Instrumentation Engineers 2018
Materias:
Special Section on Image-Guided Procedures, Robotic Interventions, and Modeling
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5771127/
https://ncbi.nlm.nih.gov/pubmed/29376105
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.2.021208
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