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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Bibliografiske detaljer
Udgivet i:J Healthc Eng
Main Authors: Soomro, Mumtaz Hussain, Coppotelli, Matteo, Conforto, Silvia, Schmid, Maurizio, Giunta, Gaetano, Del Secco, Lorenzo, Neri, Emanuele, Caruso, Damiano, Rengo, Marco, Laghi, Andrea
Format: Artigo
Sprog:Inglês
Udgivet: Hindawi 2019
Fag:
Research Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6374810/
https://ncbi.nlm.nih.gov/pubmed/30838121
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/1075434
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