Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 10134, Issue , 2017, Pages

  Patel, Ajay ^a   Van De Leemput, Sil C ^a   Prokop, Mathias ^a   Van Ginneken, Bram ^a   Manniesing, Rashindra ^a  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

3D convolutional neural network; Cerebrospinal fluid; Computed tomography; CSF; CT; Segmentation

Indexed keywords

BRAIN; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; CONVOLUTION; DIAGNOSIS; IMAGE SEGMENTATION; MEDICAL IMAGING; NEURAL NETWORKS; STATISTICAL TESTS;

ACCURATE QUANTIFICATIONS; COMPUTER AIDED DIAGNOSIS SYSTEMS; CONVOLUTIONAL NETWORKS; CONVOLUTIONAL NEURAL NETWORK; QUANTITATIVE EVALUATION; SIMILARITY COEFFICIENTS; STATE-OF-THE-ART METHODS; THREEDIMENSIONAL (3-D);

CEREBROSPINAL FLUID;

EID: 85020245923     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2254022     Document Type: Conference Paper

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