Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks

PURPOSE: To investigate whether multi-view convolutional neural networks can improve a fully automated lymph node detection system for pelvic MR Lymphography (MRL) images of patients with prostate cancer. METHODS: A fully automated computer-aided detection (CAD) system had been previously developed...

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Detalles Bibliográficos
Autores principales: Debats, Oscar A., Litjens, Geert J.S., Huisman, Henkjan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876485/
https://www.ncbi.nlm.nih.gov/pubmed/31772836
http://dx.doi.org/10.7717/peerj.8052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876485/
https://www.ncbi.nlm.nih.gov/pubmed/31772836
http://dx.doi.org/10.7717/peerj.8052

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