Automated Segmentation of Colorectal Tumor in 3D MRI Using 3D Multiscale Densely Connected Convolutional Neural Network

The main goal of this work is to automatically segment colorectal tumors in 3D T2-weighted (T2w) MRI with reasonable accuracy. For such a purpose, a novel deep learning-based algorithm suited for volumetric colorectal tumor segmentation is proposed. The proposed CNN architecture, based on densely co...

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Detalles Bibliográficos
Autores principales: Soomro, Mumtaz Hussain, Coppotelli, Matteo, Conforto, Silvia, Schmid, Maurizio, Giunta, Gaetano, Del Secco, Lorenzo, Neri, Emanuele, Caruso, Damiano, Rengo, Marco, Laghi, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374810/
https://www.ncbi.nlm.nih.gov/pubmed/30838121
http://dx.doi.org/10.1155/2019/1075434

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374810/
https://www.ncbi.nlm.nih.gov/pubmed/30838121
http://dx.doi.org/10.1155/2019/1075434

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