A Fully Automated Deep Learning Network for Brain Tumor Segmentation

We developed a fully automated method for brain tumor segmentation using deep learning; 285 brain tumor cases with multiparametric magnetic resonance images from the BraTS2018 data set were used. We designed 3 separate 3D-Dense-UNets to simplify the complex multiclass segmentation problem into indiv...

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Detalles Bibliográficos
Autores principales: Bangalore Yogananda, Chandan Ganesh, Shah, Bhavya R., Vejdani-Jahromi, Maryam, Nalawade, Sahil S., Murugesan, Gowtham K., Yu, Frank F., Pinho, Marco C., Wagner, Benjamin C., Emblem, Kyrre E., Bjørnerud, Atle, Fei, Baowei, Madhuranthakam, Ananth J., Maldjian, Joseph A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289260/
https://www.ncbi.nlm.nih.gov/pubmed/32548295
http://dx.doi.org/10.18383/j.tom.2019.00026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289260/
https://www.ncbi.nlm.nih.gov/pubmed/32548295
http://dx.doi.org/10.18383/j.tom.2019.00026

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