Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 9785, Issue , 2016, Pages

  Anirudh, Rushil ^a   Thiagarajan, Jayaraman J ^b   Bremer, Timo ^b   Kim, Hyojin ^b  

^a Arizona State University   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; CONVOLUTION; D REGION; DIAGNOSIS; MEDICAL IMAGING; NEURAL NETWORKS; OBJECT RECOGNITION; STATISTICS;

COMPUTER AIDED DIAGNOSIS(CAD); CONVOLUTIONAL NEURAL NETWORK; DETECTION OF LUNG NODULES; DISCRIMINATIVE FEATURES; FALSE POSITIVE RATES; LUNG NODULE DETECTION; SPATIO-TEMPORAL STATISTICS; UNSUPERVISED SEGMENTATION;

COMPUTER AIDED DIAGNOSIS;

EID: 84988905798     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2214876     Document Type: Conference Paper

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